Dr. Jose Maria Merigo Lindahl

Professor
University of Chile, Chile

Highest Degree
Ph.D. in Business Administration from University of Barcelona, Spain

My URL
https://livedna.org/34.9771

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Area of Interest:

Business Management and Accounting
Computational Intelligence
Decision Theory
Uncertainty
Bibliometrics

Selected Publications

  1. Palacios-Marques, D., P. Soto-Acosta and J.M. Merigo, 2015. Analyzing the effects of technological, organizational and competition factors on Web knowledge exchange in SMEs. Telematics Inform., 32: 23-32.
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  2. Merigo, J.M., 2015. Decision-making under risk and uncertainty and its application in strategic management. J. Bus. Econ. Manage., 16: 93-116.
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  3. Linares-Mustaros, S., J.M. Merigo and J.C. Ferrer-Comalat, 2015. Processing extreme values in sales forecasting. Cybernet. Syst., 46: 207-229.
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  4. Xu, Y.J., H.M. Wang and J.M. Merigo, 2014. Intuitionistic einstein fuzzy choquet integral operators for multiple attribute decision making. Technol. Econ. Dev. Econ., 20: 227-253.

  5. Shouzhen, Z., W. Qifeng, J.M. Merigo and P. Tiejun, 2014. Induced intuitionistic fuzzy ordered weighted averaging: Weighted average operator and its application to business decision-making. Comput. Sci. Inform. Syst., 11: 839-857.

  6. Merigo, J.M., M. Peris-Ortiz and D. Palacios-Marques, 2014. Entrepreneurial fuzzy group decision-making under complex environments. J. Intell. Fuzzy Syst., 27: 901-912.

  7. Merigo, J.M., M. Casanovas and Y. Xu, 2014. Fuzzy group decision-making with generalized probabilistic OWA operators. J. Intell. Fuzzy Syst., 27: 783-792.

  8. Merigo, J.M., M. Casanovas and S. Zeng, 2014. Distance measures with heavy aggregation operators. Applied Math. Modell., 38: 3142-3153.
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  9. Merigo, J.M., M. Casanovas and J.B. Yang, 2014. Group decision making with expertons and uncertain generalized probabilistic weighted aggregation operators. Eur. J. Operat. Res., 235: 215-224.
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  10. Merigo, J.M., M. Casanovas and D. Palacios-Marques, 2014. Linguistic group decision making with induced aggregation operators and probabilistic information. Applied Soft Comput., 24: 669-678.
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  11. Merigo, J.M., A.M. Gil-Lafuente and D. Palacios-Marques, 2014. A new method for fuzzy decision making under risk and uncertainty. Int. J. Bus. Continuity Risk Manage., 5: 29-42.

  12. Merigo, J.M. and M. Peris-Ortiz, 2014. Entrepreneurship and decision-making in latin America. Innovar, 24: 101-111.
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  13. Llopis-Albert, C., D. Palacios-Marques and J.M. Merigo, 2014. A coupled stochastic inverse-management framework for dealing with nonpoint agriculture pollution under groundwater parameter uncertainty. J. Hydrol., 511: 10-16.
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  14. Liao, H., Z. Xu, X. Zeng and J. Merigo, 2014. Framework of group decision making with intuitionistic fuzzy preference information. IEEE Trans. Fuzzy Syst. 10.1109/TFUZZ.2014.2348013.
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  15. Huimin, W.A.N.G. and M.M. Jose, 2014. Prioritized aggregation for non-homogeneous group decision making in water resource management. Econ. Comput. Econ. Cybernet. Stud. Res., 48: 247-258.

  16. Gil-Lafuente, A.M., J.M. Merigo and E. Vizuete, 2014. Analysis of luxury resort hotels by using the Fuzzy Analytic Hierarchy Process and the fuzzy delphi method. Econ. Res. Ekonomska Istrazivanja, 27: 244-266.
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  17. Gil-Lafuente, A.M., J. Gil-Lafuente and J.M. Merigo, 2014. Selected papers from the 2012 AEDEM Annual meeting. Int. J. Manage. Sci. Inform. Technol., 12: 1-3.

  18. Engemann, K.J., A.M. Gil-Lafuente and J.M. Merigo, 2014. Modeling in business continuity and risk management. Int. J. Bus. Continuity Risk Manage., 5: 1-3.

  19. Belles-Sampera, J., J.M. Merigo, M. Guillen and M. Santolino, 2014. Indicators for the characterization of discrete Choquet integrals. Inform. Sci., 267: 201-216.
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  20. Zeng, S., W. Li and J.M. Merigo, 2013. Extended induced ordered weighted averaging distance operators and their application to group decision-making. Int. J. Inform. Technol. Decis. Mak., 12: 789-811.
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  21. Zeng, S., J.M. Merigo and W. Su, 2013. The uncertain probabilistic OWA distance operator and its application in group decision making. Applied Math. Modell., 37: 6266-6275.
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  22. Yu, D.J., J.M. Merigo and L.G. Zhou, 2013. Interval-valued multiplicative intuitionistic fuzzy preference relations. Int. J. Fuzzy Syst., 15: 412-422.
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  23. Xu, Y., P. Shi, J.M. Merigo and H. Wang, 2013. Some proportional 2-tuple geometric aggregation operators for linguistic decision making. J. Intell. Fuzzy Syst., 25: 833-843.

  24. Palacios-Marques, D., M. Peris-Ortiz and J.M. Merigo, 2013. The effect of knowledge transfer on firm performance: An empirical study in knowledge-intensive industries. Manage. Decis., 51: 973-985.
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  25. Merigo, J.M., Y. Xu and S. Zeng, 2013. Group decision making with distance measures and probabilistic information. Knowledge-Based Syst., 40: 81-87.
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  26. Merigo, J.M., K.J. Engemann and D. Palacios-Marques, 2013. Decision making with Dempster- Shafer theory and the OWAWA operator. Technol. Econ. Dev. Econ., 19: S194-S212.

  27. Merigo, J.M., C. Rocha and S. Garcia-Agreda, 2013. Entrepreneurial intervention in electronic markets: The influence of customer participation. Int. Entrepreneur. Manage. J., 9: 521-529.
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  28. Merigo, J.M., A.M. Gil-Lafuente and Y. Xu, 2013. Decision making with induced aggregation operators and the adequacy coefficient. Econ. Comput. Econ. Cybernet. Stud. Res., 47: 185-202.

  29. Merigo, J.M., 2013. The probabilistic weighted averaging distance and its application in group decision making. Kybernetes, 42: 686-697.
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  30. Merigo, J.M. ands R.R. Yager, 2013. Generalized moving averages, distance measures and OWA operators. Int. J. Uncert. Fuzziness Knowledge-Based Syst., 21: 533-559.
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  31. Merigo, J.M. and A.M. Gil-Lafuente, 2013. Induced 2-tuple linguistic generalized aggregation operators and their application in decision-making. Inform. Sci., 236: 1-16.
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  32. Merigo, J.M. and A.M. Gil-Lafuente, 2013. A general method for decision making based on generalized OWA operators. Int. J. Intell. Syst., 28: 453-473.

  33. Gil-Lafuente, A.M. and J.M. Merigo, 2013. Modeling and simulation in enterprises-MS'10 barcelona. Kybernetes, 42: 671-673.

  34. Belles-Sampera, J., J.M. Merigo, M. Guillen and M. Santolino, 2013. The connection between distortion risk measures and ordered weighted averaging operators. Insurance: Math. Econ., 52: 411-420.
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  35. Zhou, L.G., H.Y. Chen, J.M. Merigo and A.M. Gil-Lafuente, 2012. Uncertain generalized aggregation operators. Expert Syst. Applic., 39: 1105-1117.
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  36. Xu, Y., J.M. Merigo and H. Wang, 2012. Linguistic power aggregation operators and their application to multiple attribute group decision making. Applied Math. Modell., 36: 5427-5444.
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  37. Wei, G.W. and J.M. Merigo, 2012. Methods for strategic decision-making problems with immediate probabilities in intuitionistic fuzzy setting. Scientia Iranica, 19: 1936-1946.
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  38. Merigo, J.M., M. Casanovas and K.J. Engemann, 2012. Group decision-making with generalized and probabilistic aggregation operators. Int. J. Innov. Comput. Inform. Control A, 87: 4823-4835.
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  39. Merigo, J.M., C. Lobato-Carral and A. Carrilero-Castillo, 2012. Decision making in the European Union under risk and uncertainty. Eur. J. Int. Manage., 6: 590-609.
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  40. Merigo, J.M., A.M. Gil-Lafuente, L.G. Zhou and H.Y. Chen, 2012. Induced and linguistic generalized aggregation operators and their application in linguistic group decision making. Group Decis. Negot., 21: 531-549.
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  41. Merigo, J.M., A.M. Gil-Lafuente and O. Martorell, 2012. Uncertain induced aggregation operators and its application in tourism management. Expert Syst. Applic., 39: 869-880.
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  42. Merigo, J.M., 2012. The probabilistic weighted average and its application in multiperson decision making. Int. J. Intell. Syst., 27: 457-476.
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  43. Merigo, J.M., 2012. Probabilities in the OWA operator. Expert Syst. Applic., 39: 11456-11467.
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  44. Merigo, J.M., 2012. OWA operators in the weighted average and its application in decision making. Control Cybernet., 41: 605-643.

  45. Merigo, J.M. and M. Casanovas, 2012. Decision making with uncertain aggregation operators and Dempster-Shafer belief structure. Int. J. Innov. Comput., Inform. Control, 8: 1037-1062.

  46. Merigo, J.M. and A.M. Gil-Lafuente, 2012. Decision-making techniques with similarity measures and OWA operators. Stat. Operat. Res. Trans., 36: 81-102.

  47. Merigo, J.M. and A.M. Gil-Lafuente, 2012. A method for decision making with the OWA operator. Comput. Sci. Inform. Syst., 9: 357-380.
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  48. Luciano, E.V., J.M. Merigo, A.M. Gil-Lafuente and S.B. Reverte, 2012. OWA operators in the assignment process: The case of the hungarian algorithm. Modell. Simul. Eng. Econ. Manage., 115: 166-177.
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  49. Linares, S., J.M. Merigo and J.C. Ferrer, 2012. Fuzzy triangular OWA-normal numbers. Lectures Modell. Simul., 14: 15-23.

  50. Casanovas, M. and J.M. Merigo, 2012. Risk in financial decisions and gender differences. Afr. J. Bus. Manage., 6: 9681-9694.
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  51. Casanovas, M. and J.M. Merigo, 2012. Fuzzy aggregation operators in decision making with Dempster-Shafer belief structure. Expert Syst. Applic., 39: 7138-7149.
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  52. Casanovas, M. and J.M. Merigo, 2012. Financial decision making with the fuzzy generalized probabilistic weighted averaging operator. Int. J. Econ. Res., 9: 247-262.

  53. Assis-Dorr, H., D. Palacios-Marques and J.M. Merigo, 2012. Social networking as an enabler of change in entrepreneurial Brazilian firms. J. Organiz. Change Manage., 25: 699-708.
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  54. Merigo, J.M., A.M. Gil-Lafuente, L.G. Zhou and H.Y. Chen, 2011. A generalization of the linguistic aggregation operators and its application in decision making. J. Syst. Eng. Electron., 22: 593-603.

  55. Merigo, J.M., A.M. Gil-Lafuente and J. Gil-Aluja, 2011. Soft computing techniques for decision making with induced aggregation operators. Inform. Int. Interdiscipl. J., 14: 2019-2039.

  56. Merigo, J.M., A.M. Gil-Lafuente and J. Gil-Aluja, 2011. Decision making with the induced generalized adequacy coefficient. Applied Comput. Math., 2: 321-339.

  57. Merigo, J.M., 2011. The uncertain probabilistic weighted average and its application in the theory of expertons. Afr. J. Bus. Manage., 5: 6092 -6102.
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  58. Merigo, J.M., 2011. Risk and Decision Modelling. In: Business Continuity and Risk Management: Essentials of Organizational Resilience, Engemann, K.J. and D. Henderson (Eds.). Rothstein Associates Inc., Brookfield, Wisconsinm USA., pp: 223-240.

  59. Merigo, J.M., 2011. Fuzzy multi-person decision making with fuzzy probabilistic aggregation operators. Int. J. Fuzzy Syst., 13: 163-174.

  60. Merigo, J.M., 2011. A unified model between the weighted average and the induced OWA operator. Expert Syst. Applic., 38: 11560-11572.
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  61. Merigo, J.M. and M. Casanovas, 2011. The uncertain induced quasi‐arithmetic OWA operator. Int. J. Intell. Syst., 26: 1-24.
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  62. Merigo, J.M. and M. Casanovas, 2011. The uncertain generalized OWA operator and its application to financial decision making. Int. J. Inform. Technol. Decision Mak., 10: 211-230.
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  63. Merigo, J.M. and M. Casanovas, 2011. Induced and uncertain heavy OWA operators. Comput. Ind. Eng., 60: 106-116.
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  64. Merigo, J.M. and M. Casanovas, 2011. Induced aggregation operators in the euclidean distance and its application in financial decision making. Expert Syst. Applic., 38: 7603-7608.
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  65. Merigo, J.M. and M. Casanovas, 2011. Generalized aggregation operators in decision making with Dempster-Shafer belief structure. Inform. Int. Interdiscipl. J., 14: 2711-2732.

  66. Merigo, J.M. and M. Casanovas, 2011. Decision-making with distance measures and induced aggregation operators. Comput. Ind. Eng., 60: 66-76.
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  67. Merigo, J.M. and M. Casanovas, 2011. Decision Making with Dempster-Shafer Theory using Fuzzy Induced Aggregation Operators. In: Recent Developments of the Ordered Weighted Averaging Operators: Theory and Practice, Yager, R.R., J. Kacprzyk and G. Beliakov (Eds.). Springer-Verlag, Berlin, pp: 209-228.

  68. Merigo, J.M. and M. Casanovas, 2011. A new Minkowski distance based on induced aggregation operators. Int. J. Comput. Intell. Syst., 4: 123-133.
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  69. Merigo, J.M. and G. Wei, 2011. Probabilistic aggregation operators and their application in uncertain multi-person decision-making. Technol. Econ. Dev. Econ., 2: 335-351.

  70. Merigo, J.M. and A.M. Gil-Lafuente, 2011. OWA operators in human resource management. Econ. Comput. Econ. Cybernet. Stud. Res., 45: 153-168.

  71. Merigo, J.M. and A.M. Gil-Lafuente, 2011. Fuzzy induced generalized aggregation operators and its application in multi-person decision making. Expert Syst. Applic., 38: 9761-9772.
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  72. Merigo, J.M. and A.M. Gil-Lafuente, 2011. Decision-making in sport management based on the OWA operator. Expert Syst. Applic., 38: 10408-10413.
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  73. Lindahl, J.M.M., A.M.G. Lafuente and J.G. Aluja, 2011. A new aggregation method for strategic decision making and its application in assignment theory. Afr. J. Bus. Manage., 5: 4033-4043.
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  74. Gil-Aluja, J., A.M. Gil-Lafuente and J.M. Merigo, 2011. Using homogeneous groupings in portfolio management. Expert Syst. Applic., 38: 10950-10958.
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  75. Merigo, J.M., M. Casanovas and L. Martinez, 2010. Linguistic aggregation operators for linguistic decision making based on the Dempster-Shafer theory of evidence. Int. J. Uncert. Fuzzin. Knowledge-Based Syst., 18: 287-304.
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  76. Merigo, J.M., A.M.G. Lafuente and L. Barcellos, 2010. Uncertain induced generalized aggregation operators and its application in the theory of expertons. Fuzzy Econ. Rev., 15: 25-42.

  77. Merigo, J.M., 2010. Fuzzy decision making with immediate probabilities. Comput. Ind. Eng., 58: 651-657.
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  78. Merigo, J.M. and M. Casanovas, 2010. The generalized hybrid averaging operator and its application in decision making. J. Q. Meth. Econ. Bus. Admin., 9: 69-84.

  79. Merigo, J.M. and M. Casanovas, 2010. The fuzzy generalized OWA operator and its application in strategic decision making. Cybernet. Syst.: Int. J., 41: 359-370.
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  80. Merigo, J.M. and M. Casanovas, 2010. Induced and heavy aggregation operators with distance measures. Syst. Eng. Electron. J., 21: 431-439.
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  81. Merigo, J.M. and M. Casanovas, 2010. Fuzzy generalized hybrid aggregation operators and its application in fuzzy decision making. Int. J. Fuzzy Syst., 12: 15-24.

  82. Merigo, J.M. and M. Casanovas, 2010. Decision making with distance measures and linguistic aggregation operators. Int. J. Fuzzy Syst., 12: 190-198.

  83. Merigo, J.M. and K.J. Engemann, 2010. Fuzzy decision making with probabilities and induced aggregation operators. Lectures Modell. Simul., 11: 88-98.

  84. Merigo, J.M. and A.M. Gil-Lafuente, 2010. New decision-making techniques and their application in the selection of financial products. Inform. Sci., 180: 2085-2094.
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  85. Merigo, J.M. and A.M. Gil-Lafuente, 2010. Decision making techniques in a unified model between the weighted average and the OWA operator. Lectures Modell. Simul., 11: 156-165.

  86. Gil-Lafuente, A.M. and J.M. Merigo, 2010. Decision Making Techniques in Political Management. In: Fuzzy Optimization, Lodwick, W.A. and J. Kacprzyk (Eds.). Springer-Verlag, Berlin, pp: 389-405.

  87. Merigo, J.M., P. Lopez-Jurado, M.C. Gracia and M. Casanovas, 2009. A method under uncertain information for the selection of students in interdisciplinary studies. Int. J. Social Sci., 4: 260-267.

  88. Merigo, J.M., P. Lopez-Jurado and M.C. Gracia, 2009. A decision making method for educational management based on distance measures. J. Q. Meth. Econ. Bus. Admin., 8: 29-49.

  89. Merigo, J.M. and M. Casanovas, 2009. The induced generalized hybrid averaging operator and its application in decision making. Int. J. Hum. Social Sci., 4: 1014-1020.

  90. Merigo, J.M. and M. Casanovas, 2009. Induced aggregation operators in decision making with the Dempster-Shafer belief structure. Int. J. Intelli. Syst., 24: 934-954.
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  91. Merigo, J.M. and A.M. Gil-Lafuente, 2009. The induced generalized OWA operator. Inform. Sci., 179: 729-741.
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  92. Merigo, J.M. and A.M. Gil-Lafuente, 2009. OWA operators in generalized distances. Int. J. Applied Math. Comput. Sci., 5: 11-18.

  93. Gil-Lafuente, A.M. and J.M. Merigo, 2009. On the use of the OWA operator in the adequacy coefficient. Modell. Measur. Control D, 30: 1-15.

  94. Merigo, J.M. and M. Casanovas, 2008. Using fuzzy numbers in heavy aggregation operators. Int. J. Inform. Commun. Eng., 4: 267-272.

  95. Merigo, J.M. and M. Casanovas, 2008. Geometric operators in decision making with minimization of regret. Int. J. Comput. Syst. Sci. Eng., 1: 111-118.

  96. Merigo, J.M. and M. Casanovas, 2008. Decision making with Dempster-Shafer theory of evidence using geometric operators. Int. J. Comput. Intell., 4: 261-268.

  97. Merigo, J.M. and M. Casanovas, 2008. Decision making using maximization of negret. Int. J. Comput. Intell., 4: 171-178.

  98. Merigo, J.M. and A.M. Gil-Lafuente, 2008. Using the OWA operator in the Minkowski distance. Int. J. Comput. Sci., 3: 149-157.

  99. Merigo, J.M. and A.M. Gil-Lafuente, 2008. On the use of the OWA operator in the Euclidean distance. Int. J. Electric. Electron. Eng., 2: 458-465.

  100. Merigo, J.M. and A.M. Gil-Lafuente, 2008. Geometric operators in the selection of human resources. Int. J. Comput. Inform. Sci. Eng., 2: 335-341.

  101. Merigo, J.M. and A.G. Lafuente, 2008. The generalized adequacy coefficient and its application in strategic decision making. Fuzzy Econ. Rev., 13: 17-36.

  102. Gil-Lafuente, A.M. and J.M. Merigo, 2008. Using the OWA operator in the index of maximum and minimum level. Lectures on Modell. Simul., 9: 85-94.

  103. Gil-Lafuente, A.M. and J.M. Merigo, 2008. Analysing the unification point in the selection of polyvalent financial products. Modell. Measur. Control D, 29: 37-54.

  104. Casanovas, M. and J.M. Merigo, 2008. Decision making with Dempster-Shafer theory and uncertain induced aggregation operators. J. Int. Bus. Discipl., 3: 13-26.

  105. Merigo, J.M. and A.M. Gil-Lafuente, 2007. The ordered weighted averaging distance operator. Lectures Modell. Simulat., 8: 1-11.

  106. Lindahl, J.M. and A.G. Lafuente, 2007. Unification point in methods for the selection of financial products. Fuzzy Econ. Rev., 12: 35-50.

  107. Gil-Lafuente, A.M. and J.M. Merigo, 2006. Acquisition of financial products that adapt to different environments. Lectures Modell. Simulat., 7: 42-48.
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