1. Subramanian, J., A. Karmegam, E.I. Papageorgiou, N. Papandrianos and A. Vasukie, 2015. An integrated breast cancer risk assessment and management model based on fuzzy cognitive maps. Comput. Meth. Prog. Biomed., 118: 280-297.
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2. Jayashree, S., P. Nikhil, E.I. Papageorgiou and K. Papageorgiou, 2015. Application of fuzzy cognitive maps in precision agriculture: A case study of coconut yield prediction in India. Neural Comput. Applic. 10.1007/s00521-015-1864-5.
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3. Ahmadi, S., E.I. Papageorgiou, C.H. Yeh and R. Martin, 2015. Managing readiness-relevant activities for ERP implementation. Comput. Ind., 68: 89-104.
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4. Zarikas, V., E.I. Papageorgiou and P. Regner, 2014. Bayesian network construction using a fuzzy-rule based approach for medical decision support. Exp. Syst. J. .
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5. Tagarakis, A., S. Koundouras, E.I. Papageorgiou, Z. Dikopoulou, S. Fountas and T. Gemtos, 2014. A fuzzy inference system to model grape quality in vineyards. Precis. Agric., 15: 555-578.
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6. Salmeron, J.L. and E.I. Papageorgiou, 2014. Using Fuzzy Grey Cognitive Maps for Industrial Processes Control. In: Fuzzy Cognitive Maps for Applied Sciences and Engineering, Papageorgiou, E.I. (Ed.). Springer, Germany, ISBN: 978-3-642-39738-7,, pp: 237-252.
7. Salmeron, J.L. and E.I. Papageorgiou, 2014. Fuzzy grey cognitive maps and nonlinear Hebbian learning in process control. Applied Intelli., 41: 223-234.
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8. Mpillis, A., E.I. Papageorgiou, C.A. Frantzidis, M.S. Tsatali, A.C. Tsolaki and P.D. Bamidis, 2014. A decision-support framework for promoting independent living and ageing well. IEEE J. Biomed. Health Inform., 19: 199-209.
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9. Motlagh, O., T.S. Hong, M. Homayouni and E.I. Papageorgiou, 2014. Development of application-specific adjacency models using fuzzy cognitive map. J. Comput. Applied Math., 270: 178-187.
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10. Motlagh, O., E.I. Papageorgiou, S.H. Tang and Z. Jamaludin, 2014. Multivariate relationship modeling using nested fuzzy cognitive map. Sains Malaysiana, 43: 1781-1790.
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11. Mago, V.K., E.I. Papageorgiou and A. Mago, 2014. Employing Fuzzy Cognitive Map for Periodontal Disease Assessment. In: Fuzzy Cognitive Maps for Applied Sciences and Engineering, Papageorgiou, E.I. (Ed.). Springer, Germany, pp: 375-389.
12. Froelich, W. and E.I. Papageorgiou, 2014. Extended Evolutionary Learning of Fuzzy Cognitive Maps for the Prediction of Multivariate Time-Series. In: Fuzzy Cognitive Maps for Applied Sciences and Engineering, Papageorgiou, E.I. (Ed.). Springer, Germany, ISBN: 978-3-642-39738-7, pp: 121-131.
13. Douali, N., H. Csaba, J. De Roo, E.I. Papageorgiou and M.C. Jaulent, 2014. Diagnosis support system based on clinical guidelines: Comparison between case-based fuzzy cognitive maps and bayesian networks. Comput. Meth. Prog. Biomed., 113: 133-143.
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14. Balafoutis, A.T., E. Papageorgiou, Z. Dikopoulou, S. Fountas and G. Papadakis, 2014. Sunflower oil fuel for diesel engines: Experimental investigation and optimum engine setting evaluation using multi-criteria decision making approach. Int. J. Green Energy, 11: 642-673.
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15. Ahmadi, S., S. Alizadeh and E.I. Papageorgiou, 2014. Learning fuzzy cognitive maps using imperialist competitive. Neural Comput. Applic. .
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16. Ahmadi, S., C.H. Yeh, R. Martin and E.I. Papageorgiou, 2014. Optimising ERP readiness improvements under budgetary constraints. Int. J. Prod. Econ., 161: 105-115.
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17. Papageorgiou, E.I., and D. Iakovidis, 2013. Intuitionistic fuzzy cognitive maps. IEEE Trans. Fuzzy Syst., 21: 342-354.
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18. Papageorgiou, E.I., K. Aggelopoulou, T. Gemptos and G. Nanos, 2013. Υield prediction in apples related to precision agriculture using fuzzy cognitive map learning approach. Comput. Elect. Agric., 19: 19-29.
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19. Papageorgiou, E.I., 2013. Review Study on Fuzzy Cognitive Maps and Their Applications during the Last Decade. In: Business Process Management, Glykas, M. (Ed.). Springer-Verlag, Berlin, Heidelberg, pp: 281-298.
20. Papageorgiou, E.I. and J.L. Salmeron, 2013. A review of fuzzy cognitive map research at the last decade. IEEE Trans. Fuzzy Syst., 21: 66-79.
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21. Mago, V.K., R. Mehta, R. Woolrych and E.I. Papageorgiou, 2013. Supporting meningitis diagnosis amongst infants and children through the use of fuzzy cognitive mapping. BMC Med. Inform. Decis. Mak., Vol. 98. .
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22. Kontogianni, A., C. Tourkolias and E.I. Papageorgiou, 2013. Revealing market adaptation to a low carbon. Int. J. Hydrogen Energy, 38: 709-722.
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23. Τagarakis, A., S. Koundouras, E.I. Papageorgiou, Z. Dikopoulou, S. Fountas and T. Gemtos, 2013. Development and validation of a fuzzy inference system to delineate grape quality zones in vineyards. Ciencia e Tecnica Vitivinicola, 28: 37-42.
24. Salmeron, J.L. and E.I. Papageorgiou, 2012. A fuzzy grey cognitive maps-based decision support system for radiotherapy treatment planning. J. Knowledge-Based Syst., 30: 151-160.
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25. Papageorgiou, E.I., J. De Roo, C. Huszka and D. Colaert, 2012. Formalization of treatment guidelines using fuzzy cognitive mapping and semantic web tools. J. Biomed. Inform., 45: 45-60.
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26. Papageorgiou, E.I., 2012. Learning algorithms for fuzzy cognitive maps-A review study. IEEE Trans. Syst. Man Cybernetics (SMC)-Part C, 42: 150-163.
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27. Papageorgiou, E.I., 2012. Fuzzy cognitive map software tool for treatment management of uncomplicated urinary tract infection. Comput. Meth. Prog. Biomed. J., 105: 233-245.
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28. Papageorgiou, E.I. and W. Froelich, 2012. Multi-step prediction of pulmonary infection with the use of evolutionary fuzzy cognitive maps. Neurocomput. J., 92: 28-35.
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29. Papageorgiou, E.I. and W. Froelich, 2012. Application of evolutionary fuzzy cognitive maps for prediction of pneumonia state. IEEE Trans. Inform. Technol. Biomed., 16: 143-149.
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30. Papageorgiou, E.I. and A. Kontogianni, 2012. Using Fuzzy Cognitive Mapping in Environmental Decision Making and Management: A Methodological Primer and an Application. In: International Perspectives on Global Environmental Change, Young, S.S. and S.E. Silvern (Eds.). InTech, Croatia, pp: 427-450.
31. Papageorgiou, E.I. and A. Kannappan, 2012. Fuzzy cognitive map ensemble learning paradigm to solve classification problems: Application to autism identification. Applied Soft Comput., 12: 3798-3809.
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32. Mago, V.K., V. Dabbaghian, L. Bakker, A. Alimadad, P. Borwein and E.I. Papageorgiou, 2012. Fuzzy cognitive maps and cellular automata: An evolutionary approach for social system modeling. Applied Soft Comput., 12: 3771-3784.
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33. Kontogianni, A.D., E.I. Papageorgiou and C. Tourkolias, 2012. How do you perceive environmental change? Fuzzy Cognitive Mapping informing stakeholder analysis for environmental policy making and non-market valuation. Applied Soft Comput., 12: 3725-3735.
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34. Froelich, W., E.I. Papageorgiou, M. Samarinas and K. Skriapas, 2012. Application of evolutionary FCMs to the long-term prediction of prostate cancer. Applied Soft Comput. J., 12: 3810-3817.
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35. Papageorgiou, E.I., A. Markinos and T. Gemtos, 2011. Fuzzy cognitive map based approach for predicting yield in cotton crop production as a basis for decision support system in precision agriculture application. Applied Soft Comput., 11: 3643-3657.
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36. Papageorgiou, E.I., 2011. Fuzzy Cognitive Map Reasoning Mechanism for Handling Missing Data and Uncertainty in Medical Domain. In: Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies, Mago, V.K. and N. Bhatia (Eds.). IGI Global, India.
37. Papageorgiou, E.I., 2011. A new methodology for decisions in medical informatics using fuzzy cognitive maps based on fuzzy rule-extraction techniques. Applied Soft Comput., 11: 500-513.
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38. Papageorgiou, E.I., 2011. A fuzzy inference map approach to cope with uncertainty in modeling medical knowledge and making decisions. Intelli. Decis. Technol. J., 5: 219-235.
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39. Papageorgiou, E.I. and J.L. Salmeron, 2011. Learning fuzzy grey cognitive maps using non-linear hebbian. Int. J. Approximate Reason., 53: 54-65.
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40. Michelakos, Ι., N. Mallios, E.I. Papageorgiou and M. Vassilakopoulos, 2011. Ant Colony Optimization and Data Mining. In: Next Generation Data Technologies for Collective Computational Intelligence, Bessis, N. (Ed.). Springer Verlag, Germany.
41. Iakovidis, D. and E.I. Papageorgiou, 2011. Intuitionistic fuzzy cognitive maps for medical decision making. IEEE Trans. Inform. Technol. Biomed., 15: 100-107.
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42. Arthi, K., E.I. Papageorgiou and A. Tamilarasi, 2011. Analyzing the performance of fuzzy cognitive maps with non linear hebbian learning algorithm in predicting autistic disorder. Exp. Syst. Applic., 38: 1282-1292.
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43. Papageorgiou, E.Ι., A. Markinos and T. Gemtos, 2010. Soft Computing Technique of Fuzzy Cognitive Maps to Connect Yield Defining Parameters with Yield in Cotton Crop Production in Central Greece as a Basis for a Decision Support System for Precision Agriculture Application. In: Fuzzy Cognitive Maps: Advances in Theory, Methodologies, Tools, Applications, Glykas, M. (Ed.). Springer Verlag, Germany, pp: 325-362.
44. Papageorgiou, E.Ι., 2010. A Novel Approach on Constructed Dynamic Fuzzy Cognitive Maps Using Fuzzified Decision Trees and Knowledge-Extraction Techniques. In: Fuzzy Cognitive Maps: Advances in Theory, Methodologies, Tools, Applications, Glykas, M. (Ed.). Springer Verlag, Berlin, pp: 43-70.
45. Papageorgiou, E.I., A. Markinos and T. Gemtos, 2009. Application of fuzzy cognitive maps for cotton yield management in precision farming. Expert Syst. Applic., 36: 12399-12413.
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46. Papageorgiou, E.I., P. Spyridonos, D. Glotsos, C.D. Stylios, P.P. Groumpos and G. Nikiforidis, 2008. Brain tumor characterization using the soft computing technique of fuzzy cognitive maps. Applied Soft Comput., 8: 820-828.
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47. Papageorgiou, E.Ι. and C.D. Stylios, 2008. Fuzzy Cognitive Maps. In: Handbook of Granular, Pedrycz, W., A. Skowron and V. Kreinovich (Eds.). John Wiley & Sons, Ltd., UK., pp: 755-775.
48. Papageorgiou, E.I., P. Spyridonos, P. Ravazoula, C.D. Stylios, P.P. Groumpos and G. Nikiforidis, 2006. Advanced soft computing diagnosis method for tumor grading. Artif. Intelli. Med., 36: 59-70.
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49. Papageorgiou, E.I., C. Stylios and P.P. Groumpos, 2006. Unsupervised learning techniques for fine-tuning fuzzy cognitive map causal links. Int. J. Human Comput. Stud., 64: 727-743.
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50. Kontogianni, A., E. Papageorgiou, L. Salomatina, M. Skourtos and B. Zanou, 2006. Risks for the black sea marine environment as perceived by ukrainian stakeholders: A fuzzy cognitive mapping application. Ocean Coastal Manage. J., 62: 34-42.
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51. Papageorgiou, E.I., K.E. Parsopoulos, C.D. Stylios, P.P. Groumpos and M.N. Vrahatis, 2005. Fuzzy cognitive maps learning using particle swarm optimization. Int. J. Intelli. Inform. Syst., 25: 95-121.
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52. Papageorgiou, E.I. and P.P. Groumpos, 2005. A weight adaptation method for fine-tuning fuzzy cognitive map causal links. Soft Comput. J., 9: 846-857.
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53. Papageorgiou, E.I. and P.P. Groumpos, 2005. A new hybrid learning algorithm for fuzzy cognitive maps learning. Applied Soft Comput., 5: 409-431.
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54. Papageorgiou, E.I., P. Spyridonos, P. Ravazoula, C.D. Stylios, P.P. Groumpos and G. Nikiforidis, 2004. Grading urinary bladder tumors using unsupervised hebbian algorithm for fuzzy cognitive maps. Biomed. Soft Comput. Hum. Sci., 9: 33-39.
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55. Papageorgiou, E.I., C.D. Stylios and P.P. Groumpos, 2004. Active hebbian learning to train fuzzy cognitive maps. Int. J. Approximate Reason., 37: 219-249.
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56. Papageorgiou, E.I. and P.P. Groumpos, 2004. Optimization of fuzzy cognitive map model in clinical radiotherapy through the differential evolution algorithm. Biomed. Soft Comput. Hum. Sci., 9: 25-31.
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57. Papageorgiou, E.I., C.D. Stylios and P.P. Groumpos, 2003. An integrated two-level hierarchical decision making system based on fuzzy cognitive maps. IEEE Trans. Biomed. Eng., 50: 1326-1339.
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