1. Yang, J. and J. Watada, 2015. Improved Latent Semantic Indexing-Based Data Mining Methods and an Application to Big Data Analysis of CRM. In: Information Granularity, Big Data and Computational Intelligence, Pedrycz, W. and S.M. Chen (Eds.). Springer, New York, USA., ISBN-13: 978-3-319-08254-7, pp: 141-170.
2. Yabuuchi, Y. and J. Watada, 2015. Building Fuzzy Robust Regression Model Based on Granularity and Possibility Distribution. In: Information Granularity, Big Data and Computational Intelligence, Pedrycz, W. and S.M. Chen (Eds.). Springer, New York, USA., ISBN-13: 978-3-319-08254-7, pp: 247-272.
3. Wang, B., X.Z. Zhou and J. Watada, 2015. A unit commitment-based fuzzy bilevel electricity trading model under load uncertainty. Fuzzy Optimization Decis. Making. 10.1007/s10700-015-9216-6.
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4. Tweedale, J.W., 2015. Knowledge-Based Information Systems in Practice. In: Smart Innovation, Systems and Technologies, Jain, L.C., J. Watada and R.J. Howlett (Eds.). Springer, New York, USA.
5. Ramli, A.A., J. Watada and W. Pedrycz, 2015. Information Granules Problem: An Efficient Solution of Real-Time Fuzzy Regression Analysis. In: Information Granularity, Big Data and Computational Intelligence, Pedrycz, W. and S.M. Chen (Eds.). Springer, New York, USA., ISBN-13: 978-3-319-08254-7, pp: 39-61.
6. Nagata, H., Y. Ito and J. Watada, 2015. Effects of hot pack treatment on serum cortisol and lactate in students preparing for the national license examination. ICIC Exp. Lett. Part B, Applic. Int. J. Res. Surveys, 6: 1329-1335.
7. Matsumoto, Y. and J. Watada, 2015. Rough Set Model Based Knowledge Acquisition of Market Movements from Economic Data. In: Information Granularity, Big Data and Computational Intelligence, Pedrycz, W. and S.M. Chen (Eds.). Springer, New York, USA., ISBN-13: 978-3-319-08254-7, pp: 375-388.
8. Arbaiy, N. and J. Watada, 2015. Multi-Granular Evaluation Model Through Fuzzy Random Regression to Improve Information Granularity. In: Information Granularity, Big Data and Computational Intelligence, Pedrycz, W. and S.M. Chen (Eds.). Springer, New York, USA., ISBN-13: 978-3-319-08254-7, pp: 231-245.
9. You, L.I., W.A.N.G. Bo and J. Watada, 2014. Portfolio selection models with technical analysis-based fuzzy birandom variables. IEICE Trans. Inform. Syst., 97: 11-21.
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10. Yoshimura, K. and J. Watada, 2014. Game-Based Strategy Development for Hotel Yield Management. In: Innovative Management in Information and Production, Watada, J., B. Xu and B. Wu (Eds.). Springer, New York, USA., ISBN-13: 978-1-4614-4857-0, pp: 377-386.
11. Xu, Z., J. Watada, M. Wu, Z. Ibrahim and M. Khalid, 2014. Solving the imbalanced data classification problem with the particle swarm optimization based support vector machine. IEEJ Trans. Electron. Inform. Syst., 134: 788-795.
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12. Xu, B., J. Zeng and J. Watada, 2014. Sustainable Efficiency in China with Urbanization. In: Changes in Production Efficiency in China, Xu, B., J. Zeng and J. Watada (Eds.). Springer, New York, USA., ISBN-13: 978-1-4614-7720-4, pp: 115-132.
13. Xu, B., J. Zeng and J. Watada, 2014. Changes in Technical Efficiency of FDI. In: Changes in Production Efficiency in China, Xu, B., J. Zeng and J. Watada (Eds.). Springer, New York, USA., ISBN-13: 978-1-4614-7720-4, pp: 85-101.
14. Xu, B., J. Zeng and J. Watada, 2014. Changes in Scale and Technical Efficiency with Regional Transplantation Strategy. In: Changes in Production Efficiency in China, Xu, B., J. Zeng and J. Watada (Eds.). Springer, New York, USA., ISBN-13: 978-1-4614-7720-4, pp: 103-114.
15. Xu, B., J. Zeng and J. Watada, 2014. Changes in Production Efficiency in China. Springer, New York, USA., ISBN-13: 978-1-4614-7720-4.
16. Xu, B., J. Zeng and J. Watada, 2014. Changes in Population Agglomeration Efficiency in Urban Planning. In: Changes in Production Efficiency in China, Xu, B., J. Zeng and J. Watada (Eds.). Springer, New York, pp: 37-59.
17. Xu, B., J. Zeng and J. Watada, 2014. Changes in Factors Scale Efficiency of FDI with Path Identification. In: Changes in Production Efficiency in China, Xu, B., J. Zeng and J. Watada (Eds.). Springer, New York, USA., ISBN-13: 978-1-4614-7720-4, pp: 61-83.
18. Xu, B., J. Zeng and J. Watada, 2014. Changes in Allocation Efficiency from Equity to Efficiency-Oriented. In: Changes in Production Efficiency in China: Identification and Measuring, Xu, B., J. Zeng and J. Watada (Eds.). Springer, New York, USA., ISBN-13: 978-1-4614-7720-4, pp: 13-36.
19. Watada, J., T. Waripan and B. Wu, 2014. Optimal decision methods in two-echelon logistic models. Manage. Decis., 52: 1273-1287.
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20. Watada, J., C.P. Lim and Y. Hsiao, 2014. A Bio-Signal-Based Control Approach to Building a Comfortable Space. In: Industrial Applications of Affective Engineering, Watada, J., H. Shiizuka, K.P. Lee, T. Otani and C.P. Lim (Eds.). Springer, New York, USA., ISBN-13: 978-3-319-04798-0, pp: 3-18.
21. Watada, J., B. Xu and B. Wu, 2014. Innovative Management in Information and Production. Springer, New York, USA., ISBN-13: 978-1-4614-4857-0.
22. Wang, S., J. Watada and W. Pedrycz, 2014. Granular robust mean-CVaR feedstock flow planning for waste-to-energy systems under integrated uncertainty. IEEE Trans. Cybernetics, 44: 1846-1857.
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23. Wang, S., B. Wang and J. Watada, 2014. Analytical properties of credibilistic expectation functions. Sci. World J. 10.1155/2014/294183.
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24. Tan, S.C., J. Watada, Z. Ibrahim and M. Khalid, 2014. Evolutionary fuzzy ARTMAP neural networks for classification of semiconductor defects. IEEE Trans. Neural Networks Learn. Syst., 26: 933-950.
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25. Seera, M., C.P. Lim and J. Watada, 2014. Understanding Product Features Using a Hybrid Machine Learning Model. In: Industrial Applications of Affective Engineering, Watada, J., H. Shiizuka, K.P. Lee, T. Otani and C.P. Lim (Eds.). Springer, New York, USA., ISBN-13: 978-3-319-04798-0, pp: 281-291.
26. Sahri, Z., R. Yusof and J. Watada, 2014. FINNIM: Iterative imputation of missing values in dissolved gas analysis dataset. IEEE Trans. Ind. Inform., 10: 2093-2102.
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27. Ramli, A.A., J. Watada and W. Pedrycz, 2014. A combination of genetic algorithm-based fuzzy C-means with a convex hull-based regression for real-time fuzzy switching regression analysis: Application to industrial intelligent data analysis. IEEJ Trans. Electr. Electron. Eng., 9: 71-82.
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28. Nureize, A., J. Watada and S. Wang, 2014. Fuzzy random regression based multi-attribute evaluation and its application to oil palm fruit grading. Ann. Oper. Res., 219: 299-315.
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29. Nguyen, D.D., L.T. Ngo and J. Watada, 2014. A genetic type-2 fuzzy c-means clustering approach to M-FISH segmentation. J. Intell. Fuzzy Syst.: Applic. Eng. Technol., 27: 3111-3122.
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30. Nagata, H., Y. Ito, N. Akaike, A. Honda and M. Nakano et al., 2014. The effect of hot pack treatment to chronic stress for the patients, having stiffness of shoulders or lumber. Information, 17: 313-319.
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31. Melo, H. and J. Watada, 2014. An estimation-of-distribution algorithm approach to redundancy allocation problem for a high-security system. IEEJ J. Ind. Applic., 3: 358-367.
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32. Melo, H. and J. Watada, 2014. A Gaussian Particle Swarm Optimization for Training a Feed Forward Neural Network. In: Trends in Practical Applications of Heterogeneous Multi-Agent Systems: The PAAMS Collection, Perez, J.B., J.M.C. Rodriguez, P. Mathieu, A. Campbell, A. Ortega (Eds.). Springer, New York, USA., pp: 61-68.
33. Lin, P.C., J. Watada and B. Wu, 2014. A parametric assessment approach to solving facility‐location problems with fuzzy demands. IEEJ Trans. Elect. Elect. Eng., 9: 484-493.
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34. Li, Y., B. Wang and J. Watada, 2014. Impact evaluation of exit strategy in fuzzy portfolio‐based investment. IEEJ Trans. Electric. Electron. Eng., 9: 502-513.
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35. Li, Y., B. Wang and J. Watada, 2014. A fuzzy multi-objective portfolio selection model with piecewise linear transaction costs. IEEJ Trans. Electron. Inform. Syst., 134: 780-787.
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36. Kalashnikov, V.V., V.A. Bulavsky, N.I. Kalashnykova, J. Watada and D.J. Hernandez-Rodriguez, 2014. Analysis of consistent equilibria in a mixed duopoly. J. Adv. Comput. Intell. .
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37. Jiang, Z., S.Y. Nagasawa and J. Watada, 2014. Luxury fashion brand image building: The role of store design in Bally and Tod's Japan. Manage. Decis., 52: 1288-1301.
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38. Chang, Y., J. Watada, I. Kim, M.J. Kuan and G. Tzeng, 2014. Selection of an optimal suitable project management approach through DNA computing-based clustering. Int. J. Innov. Manage. Inform. Prod., 5: 11-17.
39. Yabuuchi, Y., T. Kawaura and J. Watada, 2013. Analysis of medical care expenditure by japanese prefecture using fuzzy robust regression model. Stud. Health Technol. Inform., 207: 400-409.
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40. Wang, S. and J. Watada, 2013. Capacitated two-stage facility location problem with fuzzy costs and demands. Int. J. Mach. Learning Cybern., 4: 65-74.
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41. Wang, B., Y. Li and J. Watada, 2013. Supply reliability and generation cost analysis due to load forecast uncertainty in unit commitment problems. IEEE Trans. Power Syst., 28: 2242-2252.
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42. Matsumoto, Y. and J. Watada, 2013. Building a Rough Sets-Based Prediction Model of Tick-Wise Stock Price Fluctuations. In: Time Series Analysis, Modeling and Applications, Pedrycz, W. and S.M. Chen (Eds.). Springer, New York, pp: 301-329.
43. Matsumoto, Y. and J. Watada, 2013. A Wavelet Transform Approach to Chaotic Short-Term Forecasting. In: Time Series Analysis, Modeling and Applications, Pedrycz, W. and S.M. Chen (Eds.). Springer, Berlin/Heidelberg, ISBN: 978-3-642-33438-2, pp: 177-197.
44. Lin, P.C., J. Watada and W.U. Berlin, 2013. Risk assessment of a portfolio selection model based on a fuzzy statistical test. IEICE Trans. Inform. Syst., 96: 579-588.
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45. Lin, P.C., J. Watada and B. Wu, 2013. Identifying the distribution difference between two populations of fuzzy data based on a nonparametric statistical method. IEEJ Trans. Electr. Electron. Eng., 8: 591-598.
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46. Arbaiy, N. and J. Watada, 2013. A fractile optimisation approach for possibilistic programming problem in fuzzy random environment. Int. J. Artif. Intelli. Soft Comput., 3: 330-343.
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47. Yu, L., J. Watada and M. Shibata, 2012. Developing Marketing Strategies Based on Taste Analysis of Mineral Water. In: Intelligent Decision Technologies, Watada, J., T. Watanabe, G. Phillips-Wren, R.J. Howlett and L.C. Jain (Eds.). Springer, New York, pp: 497-507.
48. Yang, J. and J. Watada, 2012. Rough set based optimization for data mining: An improved fuzzy clustering approach. SICE J. Control Measur. Syst. Integr., 5: 210-217.
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49. Yang, J. and J. Watada, 2012. Fuzzy clustering analysis of data mining: Application to an accident mining system. Int. J. Innov. Comput. Inform. Control, 8: 5715-5724.
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50. Yang, J. and J. Watada, 2012. A clustering method for web mining based on probabilistic latent semantic indexing. SICE J. Control Measurement Syst. Integration, 5: 290-295.
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51. Yakop, F., Z. Ibrahim, A.F.Z. Abidin, Z.M. Yusof, M.S. Mohamad, K. Wan and J. Watada, 2012. An ant colony system for solving DNA sequence design problem in DNA computing. Int. J. Innovat. Comput. Inform. Control, 8: 7329-7339.
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52. Yabuuchi, Y. and J. Watada, 2012. Japanese economic analysis by possibilistic regression model building through possibility maximization. J. Adv. Comput. Intell. Intell. Inform., 16: 576-580.
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53. Yabuuchi, Y. and J. Watada, 2012. Formulation of possibility grade-based fuzzy autocorrelation model and its application to forecasting. Int. J. Intelli. Technol. Applied Stat., 5: 321-335.
54. Yaakob, S.B., J. Watada, T. Takahashi and T. Okamoto, 2012. Reliability enhancement of power systems through a mean�variance approach. Neural Comput. Applic., 21: 1363-1373.
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55. Yaakob, S.B. and J. Watada, 2012. Reliability enhancement of a traffic signal light system using a mean-variance approach. Int. J. Innov. Comput. Inform. Control, 8: 5835-5845.
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56. Yaakob, S.B. and J. Watada, 2012. Reliability enhancement of a traffic signal light system using a mean-variance approach. Int. J. Innov. Comput. Inform. Control, 8: 5835-5845.
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57. Xue, J., Z. Xu and J. Watada, 2012. Building an integrated hybrid model for short-term and mid-term load forecasting with genetic optimization. Int. J. Innov. Comput. Inform. Control, 8: 7381-7391.
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58. Xu, Z. and J. Watada, 2012. PSO-particle filter-based biometric measurement for human tracking. JACIII, 16: 533-539.
59. Wu, B. and H. Shiizuka, 2012. Special issue on management engineering. Int. J. Innov. Comput. Inform. Control, 8: 5691-5692.
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60. Wei, Y. and J. Watada, 2012. Building a Type II Fuzzy Qualitative Regression Model. In: Intelligent Decision Technologies, Watada, J., T. Watanabe, G. Phillips-Wren, R.J. Howlett and L.C. Jain (Eds.). Springer, Berlin/Heidelberg, ISBN: 978-3-642-29976-6, pp: 145-154.
61. Watada, J., L. Yu, M. Shibata and M. Khalid, 2012. An affective approach to developing marketing strategies of mineral water. J. Adv. Comput. Intelli. Intellig. Informat., 16: 514-520.
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62. Wang, S. and J. Watada, 2012. VaR-Based Fuzzy Random Facility Location Model with Variable Capacity. In: Fuzzy Stochastic Optimization, Wang, S. and J. Watada (Eds.). Springer, New York, pp: 181-197.
63. Wang, S. and J. Watada, 2012. Two-Stage Fuzzy Stochastic Programming with Value-at-Risk: A Generic Model. In: Fuzzy Stochastic Optimization, Wang, S. and J. Watada (Eds.). Springer, New York, pp: 149-180.
64. Wang, S. and J. Watada, 2012. System Reliability Optimization Models with Fuzzy Random Lifetimes. In: Fuzzy Stochastic Optimization, Wang, S. and J. Watada (Eds.). Springer, New York, pp: 85-116.
65. Wang, S. and J. Watada, 2012. Recourse-Based Fuzzy Random Facility Location Model with Fixed Capacity. In: Fuzzy Stochastic Optimization, Wang, S. and J. Watada (Eds.). Springer, New York, pp: 117-147.
66. Wang, S. and J. Watada, 2012. Fuzzy Stochastic Renewal Processes. In: Fuzzy Stochastic Optimization, Wang, S. and J. Watada (Eds.). Springer, New York, pp: 55-82.
67. Wang, S. and J. Watada, 2012. Fuzzy Stochastic Optimization: Theory, Models and Applications. Springer Science and Business Media, New York.
68. Wang, S. and J. Watada, 2012. Case Study II: Location Selection for Frozen Food Plants. In: Fuzzy Stochastic Optimization, Wang, S. and J. Watada (Eds.). Springer, New York, pp: 215-225.
69. Wang, S. and J. Watada, 2012. Case Study I: Dam Control System Design. In: Fuzzy Stochastic Optimization, Wang, S. and J. Watada (Eds.). Springer, New York, pp: 201-213.
70. Wang, S. and J. Watada, 2012. A hybrid modified PSO approach to VaR-based facility location problems with variable capacity in fuzzy random uncertainty. Inform. Sci., 192: 3-18.
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71. Wang, B., Y. Li and J. Watada, 2012. A distance-based PSO approach to solve fuzzy MOPSM with distinct risk measurements. Int. J. Innov. Comput. Inform. Control, 8: 6191-6205.
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72. Shapiai, M.I., Z. Ibrahim, M. Khalid, L.W. Jau, S.C. Ong and J. Watada, 2012. Recipe generation from small samples: Incorporating weighted kernel regression with artificial samples. Int. J. Innov. Comput. Inform. Control, 8: 7321-7328.
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73. Shao, L., Y.H. Tsai, J. Watada and S. Wang, 2012. Building Fuzzy Random Autoregression Model and Its Application. In: Intelligent Decision Technologies, Shao, L., Y.H. Tsai, J. Watada and S. Wang (Eds.). Springer, New York, pp: 155-164.
74. Roberto-Lozano, J., M.V. Kalashnikova, G. Velasco-Gallegos and J. Watada, 2012. 360 degree selective laser trabeculoplasty in mexican population. JACIII, 16: 540-546.
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75. Ramli, A.A., J. Watada and W. Pedrycz, 2012. An efficient solution of real-time fuzzy regression analysis to information granules problem. J. Adv. Comput. Intelli. Intellig. Informat., 16: 199-209.
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76. Park, J., T. Oh, K. Cho, J. Choi, S.S. Lee, J. Watada and A.A. El-Keib, 2012. Reliability evaluation of interconnected power systems including wind turbine generators. Int. J. Innov. Comput. Inform. Control, 8: 5797-5808.
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77. Nagata, H., J. Watada, I. Yushi, T. Shindo and M. Takefu et al., 2012. Hot Fomentation of the Lower-Back for Stress Relief in Students Preparing for a National Examination of Clinical Medical Technologist. In: Intelligent Decision Technologies, Watada, J., T. Watanabe, G. Phillips-Wren, R.J. Howlett and L.C. Jain (Eds.). Springer, New York, pp: 13-20.
78. Matsumoto, Y. and J. Watada, 2012. Rough set-based market knowledge acquisition from tick-wise price movement data. Int. J. Intell. Technol. Applied Stat., 5: 267-280.
79. Lin, P.C., J. Watada and B. Wu, 2012. Portfolio selection model with interval values based on fuzzy probability distribution functions. Int. J. Innov. Comput. Inform. Control, 8: 5935-5944.
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80. Lin, P.C., B. Wu and J. Watada, 2012. Goodness-of-fit test for membership functions with fuzzy data. Int. J. Innov. Comput. Inform. Control, 8: 7437-7450.
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81. Kim, I., J. Watada, W. Pedrycz and J.Y. Wu, 2012. Pattern clustering with statistical methods using a DNA-based algorithm. IEEE Trans. NanoBiosci., 11: 100-110.
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82. Kim, I. and J. Watada, 2012. Bio-soft computational and tabu search methods for solving a multi-task project scheduling problem. J. Comput., 7: 1048-1055.
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83. Chang, Y.F., J. Watada and H. Ishii, 2012. A fuzzy mcdm approach to building a model of high performance project team-a case study. Int. J. Innovative Comput. Inform. Control, 8: 7393-7404.
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84. Arbaiy, N. and J. Watada, 2012. Multi-objective top-down decision making through additive fuzzy goal programming. SICE J. Control Measurement Syst. Integration, 5: 63-69.
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85. Anggarani, R. and J. Watada, 2012. A gasoline consumption model based on the harmony search algorithm: Study case of Indonesia. Intell. Decision Technol., 6: 233-241.
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86. Adam, A., Z. Ibrahim, M.I. Shapiai, L.C. Chew, L.W. Jau, M. Khalid and J. Watada, 2012. A two-stwp supervised learning artificial neural network for imbalanced dataset problems. Int. J. Innov. Comput. Inform. Control, 8: 3163-3172.
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87. Yabuuchi, Y. and J. Watada, 2011. Fuzzy robust regression model by possibility maximization. J. Adv. Comput. Intelli. Intelli. Inform., 15: 479-484.
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88. Yaakob, S.B., J. Watada and J. Fulcher, 2011. Structural learning of the Boltzmann machine and its application to life cycle management. Neurocomputing, 74: 2193-2200.
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89. Yaakob, S.B. and J. Watada, 2011. Solving bilevel programming problems using a neural network approach and its application to power system environment. SICE J. Control Measur. Syst. Integr., 4: 387-393.
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90. Yaakob, S.B. and J. Watada, 2011. Solving Bilevel Quadratic Programming Problems and its Application. In: Knowledge-Based and Intelligent Information and Engineering Systems, Konig, A., A. Dengel, K. Hinkelmann, K. Kise, R.J. Howlett and L.C. Jain (Eds.). Springer, New York, pp: 187-196.
91. Xue, J. and J. Watada, 2011. Short-term power load forecasting method by radical-basis-function neural network with support vector machine model. ICIC Exp. Lett., 5: 1523-1528.
92. Watada, J., Y. Wang, Y.L. Tai, J. Choi and M. Shiota, 2011. Supply balance optimization of sustainable power generation from service cost perspective. Int. J. Intelli. Technol. Applied Stat., 4: 221-243.
93. Watada, J., T. Kawaura and H. Li, 2011. A Rough Set Approach to Building Association Rules and its Applications. In: Granular Computing and Intelligent Systems, Pedrycz, W. and S.M. Chen (Eds.). Springer, Berlin/Heidelberg, ISBN: 978-3-642-19819-9, pp: 203-218.
94. Watada, J. and S.B. Yaakob, 2011. Structural Learning Model of the Neural Network and Its Application to LEDs Signal Retrofit. In: New Advances in Intelligent Signal Processing, Watada, J. and S.B. Yaakob (Eds.). Springer, New York, pp: 55-74.
95. Watada, J. and N. Arbaiy, 2011. Building Multi-Attribute Decision Model Based on Kansei Information in Environment with Hybrid Uncertainty. In: Intelligent Decision Technologies, Watada, J., G. Phillips-Wren, L.C. Jain and R.J. Howlett (Eds.). Springer, Berlin/Heidelberg, ISBN: 978-3-642-22193-4, pp: 103-112.
96. Wang, S. and J. Watada, 2011. Two-stage fuzzy stochastic programming with Value-at-Risk criteria. Applied Soft Comput., 11: 1044-1056.
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97. Wang, S. and J. Watada, 2011. Some properties of T-independent fuzzy variables. Math. Comput. Model., 53: 970-984.
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98. Wang, B.,Y. Li and J. Watada, 2011. Re-Scheduling of unit commitment based on customers fuzzy requirements for power reliability. IEICE Trans. Inform. Syst., 94: 1378-1385.
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99. Wang, B., S. Wang and J. Watada, 2011. Fuzzy-portfolio-selection models with value-at-risk. IEEE Trans. Fuzzy Syst., 19: 758-769.
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100. Sun, Y., J. Watada and P.F. Weng, 2011. Pedestrian recognition and tracking method based on particle swarm optimization. Comput. Eng. Design, 3: 59-59.
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101. Shapiai, M.I., Z. Ibrahim, M. Khalid, L.W. Jau, V. Pavlovic and J. Watada, 2011. Function and surface approximation based on enhanced kernel regression for small sample sets. Int. J. Innov. Comput. Inform. Control, 7: 5947-5960.
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102. Ramli, A.A., J. Watada and W. Pedrycz, 2011. Real-time fuzzy regression analysis: A convex hull approach. Eur. J. Operat. Res., 210: 606-617.
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103. Ramli, A.A., J. Watada and W. Pedrycz, 2011. Possibilistic regression analysis of influential factors for occupational health and safety management systems. Saf. Sci., 49: 1110-1117.
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104. Ramli, A.A., J. Watada and W. Pedrycz, 2011. An intelligent data analysis-base: evaluation of nuclear power plants output flow. Int. J. Mach. Learning Comput., 1: 176-184.
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105. Ramli, A.A., J. Watada and W. Pedrycz, 2011. A Convex Hull-Based Fuzzy Regression to Information Granules Problem-An Efficient Solution to Real-Time Data Analysis. In: Software Engineering and Computer Systems, Zain, J.M., W.M. bt Wan Mohd and E. El-Qawasmeh (Eds.). Springer, New York, pp: 190-204.
106. Nureize, A. and J. Watada, 2011. Multi-attribute decision making in contractor selection under hybrid uncertainty. J. Adv. Comput. Intell. Intell. Inform., 15: 465-472.
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107. Matsumoto, Y. and J. Watada, 2011. Rough sets based prediction model of tick-wise price fluctuations. J. Adv. Comput. Intell. Intell. Inform., 15: 449-453.
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108. Lin, P., J. Watada and B. Wu, 2011. A database for a new fuzzy probability distribution function and its application. Int. J. Innov. Manage. Inform. Prod., 2: 1-7.
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109. Kim, I., Y.Y. Chu, J. Watada, J.Y. Wu and W. Pedrycz, 2011. A DNA-based algorithm for minimizing decision rules: A rough sets approach. IEEE Trans. NanoBiosci., 10: 139-151.
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110. Chu, Y., J. Watada, I. Kim and J. Wu, 2011. Design of Initial Biosensor for Measurement of Glucose in Human Blood by using Biocomputing Technology. In: Knowledge-Based and Intelligent Information and Engineering Systems, Konig, A., A. Dengel, K. Hinkelmann, K. Kise, R.J. Howlett and L.C. Jain (Eds.). Springer, Berlin/Heidelberg, ISBN: 978-3-642-23853-6, pp: 237-245.
111. Bakar, R.A., C. Yu-Yi and J. Watada, 2011. Robustness of DNA-Based Clustering. In: New Advances in Intelligent Signal Processing, Ruano, A.E. and A.R. Varkonyi-Koczy (Eds.). Springer, Berlin/Heidelberg, ISBN: 978-3-642-11738-1, pp: 75-92.
112. Arbaiy, N., J. Watada and J. Watada, 2011. Multi-attribute decision making in contractor selection under hybrid uncertainly. J. Adv. Comput. Intelli. Intelligent Inform., 15: 465-472.
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113. Arbaiy, N. and J. Watada, 2011. Building fuzzy goal programming with fuzzy random linear programming for multi-level multi-objective problem. Int. J. New Comput. Architectures Applic., 1: 911-925.
114. Abu Bakar, R.B. and J. Watada, 2011. Empirical robustness evaluation of DNA-based clustering methods. Int. J. Intell. Comput. Med. Sci. Image Process., 4: 1-12.
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115. Zeng, J., B. Xu and J. Watada, 2010. Identification and realization of changing technical efficiency based on path-converged design. Int. J. Innov. Comput. Inform. Control, 6: 1643-1654.
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116. Yaakob, S.B. and J. Watada, 2010. A hybrid particle swarm optimization approach to mixed integer quadratic programming for portfolio selection problems. Int. J. Simul. Syst. Sci. Technol., 11: 68-74.
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117. Watada, J., Z. Musa, L.C. Jain and J. Fulcher, 2010. Human Tracking: A State-of-Art Survey. In: Advances in Intelligent Decision Technologies, Phillips-Wren, G., L.C. Jain, K. Nakamatsu and R.J. Howlett (Eds.). Springer, Berlin/Heidelberg, ISBN: 978-3-642-14615-2, pp: 454-463.
118. Watada, J., L.C. Lin, L. Ding, M.I. Shapiai and L.C. Chew et al., 2010. A Rough-Set-based Two-Class Classifier for Large Imbalanced Dataset. In: Advances in Intelligent Decision Technologies, Phillips-Wren, G., L.C. Jain, K. Nakamatsu and R.J. Howlett (Eds.). Springer, Berlin/Heidelberg, ISBN: 978-3-642-14615-2, pp: 641-651.
119. Watada, J. and S. Wen, 2010. Strategy building for foreign exchange exposure. Int. J. Innov. Manage. Inform. Prod., 1: 1-17.
120. Wang, S., J. Watada and W. Pedrycz, 2010. Recourse-based facility-location problems in hybrid uncertain environment. Syst. Man Cybernet. Part B: Cybernet. IEEE Trans., 40: 1176-1187.
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121. Wang, S., J. Watada and S.B. Yaakob, 2010. A Variable-Capacity-based Fuzzy Random Facility Location Problem with VaR Objective. In: Integrated Uncertainty Management and Applications, Huynh, V.N., Y. Nakamori, J. Lawry and M. Inuiguchi (Eds.). Springer, Berlin/Heidelberg, ISBN: 978-3-642-11959-0, pp: 209-220.
122. Wang, S. and J. Watada, 2010. T-norm-based limit theorems for fuzzy random variables. J. Intell. Fuzzy Syst., 21: 233-242.
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123. Wang, B., Y. Li and J. Watada, 2010. Fuzzy Power System Reliability Model based on Value-at-Risk. In: Knowledge-Based and Intelligent Information and Engineering Systems, Setchi, R., I. Jordanov, R.J. Howlett and L.C. Jain (Eds.). Springer, Berlin, Heidelberg, ISBN: 978-3-642-15389-1, pp: 445-453.
124. Wang, B., S. Wang and J. Watada, 2010. Real options analysis based on fuzzy random variables. Int. J. Innov. Comput. Inform. Control, 6: 1689-1698.
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125. Saaid, M.F.M., Z. Ibrahim, Z.M. Yusof and J. Watada, 2010. Automation of a DNA computing readout method based on real-time PCR implemented on a lightcycler system. Int. J. Innov. Comput. Inform. Control, 6: 4263-4272.
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126. Nureize, A. and J. Watada, 2010. A fuzzy regression approach to a hierarchical evaluation model for oil palm fruit grading. Fuzzy Optimiz. Decision Making, 9: 105-122.
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127. Lin, P.C., B. Wu and J. Watada, 2010. Kolmogorov-Smirnov Two Sample Test with Continuous Fuzzy Data. In: Integrated Uncertainty Management and Applications, Huynh, V.N., Y. Nakamori , J. Lawry and M. Inuiguchi (Eds.)., Springer, Berlin Heidelberg, pp: 175-186.
128. Kim, I. and J. Watada, 2010. Combining biological computation and fuzzy-based methods for organisationally cohesive subgroups. Int. J. Unconvent. Comput., 6: 285-300.
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129. Kim, I. and J. Watada, 2010. A molecular computational approach to solving a work centre sequence-oriented manufacturing problem of classical job shop scheduling. IJUC, 6: 473-487.
130. Jianxiong, Y. and J. Watada, 2010. Wise Search Engine based on LSI. In: Agents and Data Mining Interaction, Cao, L., A.L.C. Bazzan, V. Gorodetsky, P.A. Mitkas, G. Weiss and P.S. Yu (Eds.). Springer, Berlin/Heidelberg, ISBN: 978-3-642-15419-5, pp: 126-136.
131. Arbaiy, N. and J. Watada, 2010. Constructing Fuzzy Random Goal Constraints for Stochastic Fuzzy Goal Programming. In: Integrated Uncertainty Management and Applications, Huynh, V.N., Y. Nakamori, J. Lawry and M. Inuiguchi (Eds.). Springer, Berlin/Heidelberg, ISBN: 978-3-642-11959-0, pp: 293-304.
132. Yaakob, S.B. and J. Watada, 2009. Optimal Workers Placement in an Industrial Environment. In: Views on Fuzzy Sets and Systems from Different Perspectives, Seising, R. (Ed.). Springer, Berlin/Heidelberg, ISBN: 978-3-540-93801-9, pp: 547-565.
133. Watada, J., S. Wang and W. Pedrycz, 2009. Building confidence-interval-based fuzzy random regression models. IEEE Trans. Fuzzy Syst., 17: 1273-1283.
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134. Watada, J., L.C. Lin, M. Qiang and P.C. Lin, 2009. A Fuzzy Random Variable Approach to Restructuring of Rough Sets through Statistical Test. In: Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, Sakai, H., M.K. Chakraborty, A.E. Hassanien, D. Slezak and W. Zhu (Eds.). Springer, Berlin/Heidelberg, ISBN: 978-3-642-10645-3, pp: 269-277.
135. Watada, J. and S. Wang, 2009. Regression Model Based on Fuzzy Random Variables. In: Views on Fuzzy Sets and Systems from Different Perspectives, Seising, R. (Ed.). Springer, Berlin Heidelberg, pp: 533-545.
136. Wang, S., Y.K. Liu and J. Watada, 2009. Fuzzy random renewal process with queueing applications. Comput. Mathe. Applic., 57: 1232-1248.
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137. Wang, S., J. Watada and W. Pedrycz, 2009. Value-at-risk-based two-stage fuzzy facility location problems. IEEE Trans. Ind. Inform., 5: 465-482.
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138. Wang, S. and J. Watada, 2009. Studying distribution functions of fuzzy random variables and its applications to critical value functions. Int. J. Innov. Comput. Inform. Control, 5: 279-292.
139. Wang, S. and J. Watada, 2009. Reliability optimization of a series-parallel system with fuzzy random lifetimes. Int. J. Innov. Comput. Inform. Control, 5: 1547-1558.
140. Wang, S. and J. Watada, 2009. Modelling redundancy allocation for a fuzzy random parallel-series system. J. Comput. Applied Mathe., 232: 539-557.
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141. Wang, S. and J. Watada, 2009. Fuzzy random renewal reward process and its applications. Inform. Sci., 179: 4057-4069.
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142. Shibata, K., J. Watada and Y. Yabuuchi, 2009. Fuzzy AHP approach to comparison of grant aid for ODA in Japan. Int. J. Innov. Comput. Inform. Control, 5: 1539-1546.
143. Park, J., W. Liang, J. Choi, A.A. El-Keib and J. Watada, 2009. Probabilistic production cost credit evaluation of wind turbine generators. Int. J. Innov. Comput. Inform. Control, 5: 3637-3646.
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144. Musa, Z.B., J. Watada, S. Yan and H. Ding, 2009. Dynamic Tracking System through PSO and Parzen Particle Filter. In: Knowledge-Based and Intelligent Information and Engineering Systems, Velasquez, J.D., S.A. Rios, R.J. Howlett and L.C. Jain (Eds.). Springer, Berlin/Heidelberg, ISBN: 978-3-642-04591-2, pp: 220-227.
145. Mohamed, R. and J. Watada, 2009. Logical method for logical operations based on evidential reasoning. Int. J. Knowl. Eng. Soft Data Paradigms, 1: 151-172.
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146. Matsumoto, Y. and J. Watada, 2009. Knowledge acquisition from time series data through rough sets analysis. Int. J. Innov. Comput. Inform. Control, 5: 4885-4897.
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147. Lin, L., J. Zhu, J. Watada, T. Kashima and H. Ishii, 2009. A rough set approach to classification and its application for the creative city development. Int. J. Innov. Comput. Inform. Control, 5: 4859-4866.
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148. Kim, I., Y. Chu, D.J.F. Jeng, J. Watada and J.Y. Wu, 2009. Building a bio-inspired reinforcement medical network system for optimal relationships in medical communications. Int. J. Biomed. Soft Comput. Hum. Sci. Biomed. Fuzzy Syst. Assoc., 15: 9-16.
149. Kim, I. and J. Watada, 2009. Towards a New Medical Decision Support System with Bio-inspired Interpretive Structural Modelling. In: New Advances in Intelligent Decision Technologies, Nakamatsu, K., G. Phillips-Wren, L.C. Jain and R.J. Howlett (Eds.). Springer, Berlin/Heidelberg, ISBN: 978-3-642-00908-2, pp: 459-466.
150. Kim, I. and J. Watada, 2009. Searching Cliques in a Fuzzy Graph Based on an Evolutionary and Biological Method. In: Knowledge-Based and Intelligent Information and Engineering Systems, Velasquez, J.D., S.A. Rios, R.J. Howlett and L.C. Jain (Eds.). Springer, Berlin/Heidelberg, ISBN: 978-3-642-04591-2, pp: 166-173.
151. Kim, I. and J. Watada, 2009. Determining Workstation Groups in a Fixed Factory Facility Based on Biological Computation. In: Knowledge-Based and Intelligent Information and Engineering Systems, Velasquez, J.D., S.A. Rios, R.J. Howlett and L.C. Jain (Eds.). Springer, Berlin/Heidelberg, ISBN: 978-3-642-04591-2, pp: 188-194.
152. Kim, I. and J. Watada, 2009. Decision making with an interpretive structural modeling method using a DNA-based algorithm. IEEE Trans. NanoBioscience, 8: 181-191.
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153. Kim, I. and J. Watada, 2009. A Hybrid Method of Biological Computation and Genetic Algorithms for Resolving Process-Focused Scheduling Problems. In: Knowledge-Based and Intelligent Information and Engineering Systems, Velasquez, J.D., S.A. Rios, R.J. Howlett and L.C. Jain (Eds.). Springer, Berlin/Heidelberg, ISBN: 978-3-642-04591-2, pp:159-165.
154. Kim, I. and J. Watada, 2009. A Biologically Intelligent Encoding Approach to a Hierarchical Classification of Relational Elements in a Digraph. In: Knowledge-Based and Intelligent Information and Engineering Systems, Velasquez, J.D., S.A. Rios, R.J. Howlett and L.C. Jain (Eds.). Springer, Berlin/Heidelberg, ISBN: 978-3-642-04591-2, pp: 174-180.
155. Kim, I. and J. Watada, 2009. A Bio-inspired Evolutionary Approach to Identifying Minimal Length Decision Rules in Emotional Usability Engineering. In: Knowledge-Based and Intelligent Information and Engineering Systems, Velasquez, J.D., S.A. Rios, R.J. Howlett and L.C. Jain (Eds.). Springer, Berlin/Heidelberg, ISBN: 978-3-642-04591-2, pp: 181-187.
156. Jeng, D.J.F., J. Watada and B. Wu, 2009. Biologically inspired fuzzy forecasting: A new forecasting methodology. Int. J. Innov. Comput. Inform. Control, 5: 4835-4844.
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157. Imai, S. and J. Watada, 2009. Pattern classification analysis of corporate quality in it industry. Global J. Int. Bus. Res., 2: 50-62.
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158. Cha, J., J. Choi, D. Park, J. Yoon, S. Moon, J. Watada and R. Billinton, 2009. Reliability evaluation for interconnection planning in North East Asia. Int. J. Innov. Comput. Inform. Control, 5: 1295-1311.
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159. Xu, B., J.Y. Zeng and J. Watada, 2008. Distribution identification and path selection for population agglomeration in Chinese urbanization development. Int. J. Intelli. Technol. Applied Stat., 1: 55-73.
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160. Xu, B. and J. Watada, 2008. Observed probability measurement for urbanization development level with errors-in-variables observation. Int. J. Innov. Comput. Inform. 4: 1233-1242.
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161. Xu, B. and J. Watada, 2008. Identification of regional urbanization gap: Evidence of China. J. Model. Manage., 3: 7-25.
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162. Xu, B. and J. Watada, 2008. An alternative measure: Chinese urbanization. Knowl. Based Int. Inform. Eng. Syst., 4694: 333-341.
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163. Watada, J., Z.B. Musa, 2008. Tracking of object motion using particle filter. SCIS., 10.14864/softscis.2008.0.1725.0.
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164. Watada, J., 2008. Method of DNA computing and its application. Stud. Comput. Intell., 115: 1065-1089.
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165. Watada, J., 2008. DNA Computing and its Application. In: Computational Intelligence: A Compendium, Fulcher, J. and L.C. Jain (Eds.)., Springer, Berlin Heidelberg, pp: 1065-1089.
166. Watada, J. and H. Hirano, 2008. Adaptive control of a room environment depending on patient's behaviors through biopsy information. J. Showa Hospital, 3: 187-198.
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167. Watada, J. and B. Xu, 2008. Liquidity impact on sector returns of stock market: Evidence of China. Asia Pac. J. Finance Banking Res., Vol. 2. .
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168. Watada, J. and Z.B. Musa, 2008. Adjusting an environment to human behaviors based on biopsy information. Theor. Adv. Applic. Fuzzy Logic Soft Comput., 42: 803-812.
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169. Wang, S. and J. Watada, 2008. T-independence condition for fuzzy random vector based on continuous triangular norms. J. Uncertain Syst., 2: 155-160.
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170. Ngo, T., S.R. Jory, Z.Y. Bello, B. Xu and J. Watada, 2008. International evidence on the relationship between trading volume and serial correlation in stock returns. Global J. Finance Bank. Issues, 2: 1-13.
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171. Musa, Z.B., J. Watada and H. Hirano, 2008. Building a comfortable space fitting to human behaviors through biopsy information. Int. J. Intell. Comput. Med. Sci. Image Proc., 2: 141-151.
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172. Musa, Z.B. and J. Watada, 2008. Multi-camera tracking system for human motions in different areas and situations. Int. J. Innov. Comput. Inform. Control, 4: 1213-1222.
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173. Musa, Z. and J. Watada, 2008. Video tracking system: A survey. Int. J. Res. Surv., (ICIC Express Lett.), 2: 65-72.
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174. Kim, I., J. Watada and W. Pedrycz, 2008. A DNA-based algorithm for arranging weighted cliques. Simul. Model. Pract. Theory, 16: 1561-1570.
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175. Kim, I., J. Watada and I. Shigaki, 2008. A comparison of dispatching rules and genetic algorithms for job shop schedules of standard hydraulic cylinders. Soft Comput., 12: 121-128.
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176. Jeng, D.J.F., I. Kim and J. Watada, 2008. Bio-soft computing with fixed-length DNA to a group control optimization problem. Soft Comput., 12: 223-228.
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177. Imoto, S., Y. Yabuuchi and J. Watada, 2008. Fuzzy regression model of R&D project evaluation. Applied Soft Comput., 8: 1266-1273.
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178. Imai, S., S. Wang and J. Watada, 2008. Regression Model Based on Fuzzy Random Variables. In: Knowledge-Based Intelligent Information and Engineering Systems, Lovrek, I., R.J. Howlett and L.C. Jain (Eds.). Springer, Berlin/Heidelberg, ISBN: 978-3-540-85566-8, pp: 127-135.
179. Imai, S., C.W. Lin, J. Watada and G.H. Tzeng, 2008. Rough sets approach to human resource development of information technology corporations. Int. J. Simul., 9: 31-42.
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180. Imai, S. and J. Watada, 2008. An approach to realize corporate quality in IT corporations. Biomed. Soft Comput. Hum. Sci., 13: 43-50.
181. Bakar, R.B.A., J. Watada and W. Pedrycz, 2008. DNA approach to solve clustering problem based on a mutual order. Biosystems, 91: 1-12.
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182. Bakar, R.B.A., J. Watada and W. Pedrycz, 2008. A proximity approach to DNA based clustering analysis. Int. J. Innov. Comput. Inform. Control, 4: 1203-1212.
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183. Bakar, R.B.A. and J. Watada, 2008. Biological Clustering Method for Logistic Place Decision Making. In: Knowledge-Based Intelligent Information and Engineering Systems, Lovrek, I., R.J. Howlett and L.C. Jain (Eds.). Springer, Berlin/Heidelberg, ISBN: 978-3-540-85566-8, pp: 136-143.
184. Bakar, R.A. and J. Watada, 2008. A biologically inspired computing approach to solve cluster-based determination of logistic problem. Biomed. Soft Comput. Hum. Sci., 13: 59-66.
185. Abu Bakar, R.B. and J. Watada, 2008. DNA computing and its applications: Survey. ICIC Express Lett., 2: 101-108.
186. Watada, J., B. Wu and R. Jirousek, 2007. International journal of innovative computing, information and control. Int. J. Innov. Comput. Inform. Contr., Vol. 4. .
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187. Watada, J. and Y. Matsumoto, 2007. Wavelet approach to chaotic forecasting of stock movement. Asia Pac. J. Finance Banking Res., 1: 34-44.
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188. Musa, Z.B. and J. Watada, 2007. Dynamic Tracking System for Object Recognition. In: Knowledge-Based Intelligent Information and Engineering Systems, Apolloni, B., R.J. Howlett and L. Jain (Eds.). Springer, Berlin, Heidelberg, ISBN: 978-3-540-74828-1, pp: 378-385.
189. Kwon, J., J. Choi, T. Tran, A.A. El-Keib and J. Watada, 2007. Emissions constrained multi-criteria-best generation mix using fuzzy dynamic programming. Int. J. Innov. Comput. Inform. Control, 3: 41-52.
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190. Jeng, D.J.F., R.A. Bakar and J. Watada, 2007. DNA Computing Approach to Management Engineering. In: Knowledge-Based Intelligent Information and Engineering Systems, Apolloni, B., R.J. Howlett and L. Jain (Eds.)., Springer, New York, USA., ISBN-: 978-3-540-74829-8, pp: 370-377.
191. Imoto, S., J. Watada and Y. Yabuuchi, 2007. Building an innovative structure for a manufacturing corporation. Global J. Int. Bus. Res., Vol. 1. .
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192. Binti, R., A. Bakar and J. Watada, 2007. I Intelligent processing-soft computing approach to management engineering-a bio-soft computing approach to re-arrange a flexible manufacturing robot. Lecture Notes Comput. Sci., 4694: 308-315.
193. Bakar, R.B.A. and J. Watada, 2007. A Bio-Soft Computing approach to Re-Arrange a Flexible Manufacturing Robot. In: Knowledge-Based Intelligent Information and Engineering Systems, Apolloni, B., R.J. Howlett and L. Jain (Eds.). Springer, Berlin, Heidelberg, ISBN: 978-3-540-74828-1, pp: 308-315.
194. Xu, B. and J. Watada, 2006. Dynamics of the Chinese urbanization based on nonparametric models. East-West J. Math., 8: 1-14.
195. Watada, J., M. Takagi, N. Yubazaki and H. Hirano, 2006. Realization of comfortable space using brainwave signals. Proc. Inst. Mech. Eng. Part I, J. Syst. Control Eng., 220: 667-673.
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196. Watada, J., K. Aoki, M. Kawano and M.S. Hitam, 2006. Dual scaling in data mining from text databases. J. Adv. Comput. Intell. Intell. Inform., 10: 451-457.
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197. Watada, J., 2006. Structural Learning of Neural Networks for Forecasting Stock Prices. In: Knowledge-Based Intelligent Information and Engineering Systems: 10th International Conference, KES 2006, Bournemouth, UK, October 9-11, 2006. Proceedings, Part III, Gabrys, B., R.J. Howlett and L.C. Jain (Eds.). Springer, Berlin, Heidelberg, pp: 972-979.
198. Shiizuka, H. and J. Watada, 2006. Overview of the Kansei system. Proc. Inst. Mech. Eng. Part I: J. Syst. Control Eng., 220: 659-665.
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199. Musa, Z.B. and J. Watada, 2006. A grid-computing based multi-camera tracking system for vehicle plate recognition. Kybernetika, 42: 495-514.
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200. Kim, I., D.J.F. Jeng and J. Watada, 2006. Soft computing approaches to management engineering-analysing the density of subgroups in valued relationships based on DNA computing. Lecture Notes Comput. Sci., 4253: 964-971.
201. Kim, I., D.J.F. Jeng and J. Watada, 2006. Analysing the Density of Subgroups in Valued Relationships based on DNA Computing. In: Knowledge-Based Intelligent Information and Engineering Systems, Apolloni, B., R.J. Howlett and L. Jain (Eds.)., Springer, New York, USA., ISBN-: 978-3-540-74829-8, pp: 964-971.
202. Jeng, D.J.F., I. Kim and J. Watada, 2006. Bio-inspired evolutionary method for cable trench problem. Int. J. Innov. Comput. Inform. Control, 3: 111-118.
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203. Watada, J., 2005. Trend of Fuzzy Multivariant Analysis in Management Engineering. In: Knowledge-Based Intelligent Information and Engineering Systems, Khosla, R., R.J. Howlett and L. C. Jain (Eds.). Springer, Berlin/Heidelberg, ISBN: 978-3-540-28895-4, pp: 1283-1290.
204. Shibata, K., J. Watada, Y. Yabuuchi and S. Uehara, 2005. Fuzzy multivariate approach to corporate brand evaluation. J. Int. Econ. Stud., 19: 49-62.
205. Minh, T.D., L.H. Khoi, J. Watada and T. Watanable, 2005. A modified meta-controlled boltzmann machine. J. Comput. Sci. Cybernet., 21: 208-215.
206. Kohritani, M., J. Watada, H. Hirano and N. Yubazaki, 2005. Kansei Engineering for Comfortable Space Management. In: Knowledge-Based Intelligent Information and Engineering Systems, Khosla, R., R.J. Howlett and L. C. Jain (Eds.). Springer, Berlin/Heidelberg, ISBN: 978-3-540-28895-4, pp:1291-1297.
207. Yabuuchi, Y., J. Watada and Y. Toyoura, 2004. Fuzzy AR model of stock price. Scientiae Mathematicae Japonicae, 60: 303-310.
208. Yabuuchi, Y. and J. Watada, 2004. Possibilistic Forecasting Model and its Application to Analyze the Economy in Japan. In: Knowledge-Based Intelligent Information and Engineering Systems, Negoita, M.G., R.J. Howlett and L.C. Jain (Eds.). Springer, Berlin/Heidelberg, ISBN: 978-3-540-23205-6, pp: 151-158.
209. Yabuuchi, Y. and J. Watada, 2004. Formulation of fuzzy switching regression model. Official J. Jpn. Assoc. Inttel. Inform. Fuzzy Syst., 16: 53-59.
210. Watanabe, T., J. Watada and H. Sugita, 2004. Fund allocation method based on a block of shares. Scientiae Mathematicae Japonicae, 60: 257-268.
211. Watanabe, T. and J. Watada, 2004. Effective Solution of a Portfolio Selection Based on a Block of Shares by a Meta-Controlled Boltzmann Machine. In: Knowledge-Based Intelligent Information and Engineering Systems: 8th International Conference, KES 2004, Wellington, New Zealand, September 20-25, 2004, Proceedings, Part III, Negoita, M.G., R.J. Howlett and L.C. Jain (Eds.). Springer, Berlin, Heidelberg, ISBN-13: 978-3-540-30134-9, pp: 129-135.
212. Watanabe, T. and J. Watada, 2004. A meta-controlled Boltzmann machine for rebalancing portfolio selection. Cent. Eur. J. Oper. Res., 12: 93-103.
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213. Watada, J., K. Aoki and T. Kawaura, 2004. Soft Computing Approach to Books Allocation Strategy for Library. In: Knowledge-Based Intelligent Information and Engineering Systems: 8th International Conference, KES 2004, Wellington, New Zealand, September 20-25, 2004, Proceedings, Part III, Negoita, M.G., R.J. Howlett and L.C. Jain (Eds.). Springer, Berlin, Heidelberg, ISBN-13: 978-3-540-30134-9, pp: 136-142.
214. Watada, J., 2004. Recent development of fuzzy systems technology in financial engineerings. Syst. Control Inform., 48: 28-33.
215. Watada, J., 2004. Construction of consultation systems on descriptive knowledge. Soft Comput., 8: 676-680.
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216. Toyoura, Y., J. Watada, Y. Yabuuchi, H. Ikegarne, S. Sato, K. Watanabe and M. Tohyama, 2004. Fuzzy regression analysis of software bug structures. Cent. Eur. J. Oper. Res., 12: 13-23.
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217. Toyoura, Y., J. Watada, M. Khalid and R. Yusof, 2004. Formulation of linguistic regression model based on natural words. Soft Comput., 8: 681-688.
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218. Matsumoto, Y. and J. Watada, 2004. Improvement of chaotic short-term forecasting on fuzzy reasoning and tuning on genetic algorithm. Jpn. Soc. J. Fuzzy Theory Intell. Inform., 16: 44-52 16: 44-52.
219. Watada, J. and T. Watanabe, 2003. Solving Portfolio Problems Based on Meta-Controled Boltzmann Machine. In: Multi-Objective Programming and Goal Programming: Theory and Applications, Tanino, T., T. Tanaka and M. Inuiguchi (Eds.). Springer, Berlin, Heidelberg, ISBN-13: 978-3-540-36510-5, pp: 269-274.
220. Watada, J., 2001. Fuzzy Portfolio Model for Decision Making in Investment. In: Dynamical Aspects in Fuzzy Decision Making, Yoshida, Y. (Ed.). Physica-Verlag HD., Heidelberg, ISBN: 978-3-7908-2490-2, pp: 141-162.
221. Kawaura, T. and J. Watada, 2001. Fuzzy mean-variance approach to strategic decision in agricultural management. J. Operat. Res. Soc. Japan, Vol. 2. .
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222. Toyoura, Y., M. Kambara, M. Uemura, T. Miyake, K. Kawasaki and J. Watada, 2000. Evaluation of fuzzy regression analysis and its application to oral age model. Biomed. Fuzzy Hum. Sci.: Official J. Biomed. Fuzzy Syst. Assoc., 6: 41-49.
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