R. Axelrod, Structure of Decision: the Cognitive Maps of Political Elites, 1976.
DOI : 10.1515/9781400871957

B. Kosko, Fuzzy cognitive maps, International Journal of Man-Machine Studies, vol.24, issue.1, pp.65-75, 1986.
DOI : 10.1016/S0020-7373(86)80040-2

J. Aguilar, A survey about fuzzy cognitive maps papers, International Journal of Computational Cognition, vol.3, issue.2, pp.27-33, 2005.

E. I. Papageorgiou, Review study on fuzzy cognitive maps and their applications during the last decade, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), pp.828-835, 2011.
DOI : 10.1109/FUZZY.2011.6007670

E. I. Papageorgiou, Learning Algorithms for Fuzzy Cognitive Maps—A Review Study, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), vol.42, issue.2, pp.150-163, 2011.
DOI : 10.1109/TSMCC.2011.2138694

E. I. Papageorgiou and J. L. Salmeron, A Review of Fuzzy Cognitive Maps Research During the Last Decade, IEEE Transactions on Fuzzy Systems, vol.21, issue.1, pp.66-79, 2013.
DOI : 10.1109/TFUZZ.2012.2201727

J. L. Gonzalez, L. T. Aguilar, and O. Castillo, A cognitive map and fuzzy inference engine model for online design and self fine-tuning of fuzzy logic controllers, International Journal of Intelligent Systems, vol.16, issue.1, pp.1134-1173, 2009.
DOI : 10.1002/int.20379

A. S. Andreou, N. H. Mateou, and G. A. Zombanakis, Soft computing for crisis management and political decision making: the use of genetically evolved fuzzy cognitive maps, Soft Computing, vol.9, issue.3, pp.194-210, 2006.
DOI : 10.1007/s00500-004-0344-0

M. Glykas, Fuzzy cognitive strategic maps in business process performance measurement, Expert Systems with Applications, vol.40, issue.1, pp.1-14, 2013.
DOI : 10.1016/j.eswa.2012.01.078

E. I. Papageorgiou and W. Froelich, Application of Evolutionary Fuzzy Cognitive Maps for Prediction of Pulmonary Infections, IEEE Transactions on Information Technology in Biomedicine, vol.16, issue.1, pp.143-149, 2012.
DOI : 10.1109/TITB.2011.2175937

O. Motlagh, S. H. Tang, N. Ismail, and A. R. Ramli, An expert fuzzy cognitive map for reactive navigation of mobile robots, Fuzzy Sets and Systems, vol.201, pp.105-121, 2012.
DOI : 10.1016/j.fss.2011.12.013

G. Acampora and V. Loia, On the Temporal Granularity in Fuzzy Cognitive Maps, IEEE Transactions on Fuzzy Systems, vol.19, issue.6, pp.1040-1057, 2011.
DOI : 10.1109/TFUZZ.2011.2159799

E. Papageorgiou, A. Markinos, and T. Gemtos, 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, book: Fuzzy Cognitive Maps, 2010.
DOI : 10.1007/978-3-642-03220-2_14

K. C. Lee and S. Lee, A causal knowledge-based expert system for planning an Internet-based stock trading system, Expert Systems with Applications, vol.39, issue.10, pp.8626-8635, 2012.
DOI : 10.1016/j.eswa.2012.01.191

S. Alizadeh and M. Ghazanfari, Learning FCM by chaotic simulated annealing, Chaos, Solitons & Fractals, vol.41, issue.3, pp.1182-1190, 2009.
DOI : 10.1016/j.chaos.2008.04.058

J. A. Dickerson and B. Kosko, Fuzzy virtual worlds, Artif. Intell. Expert, vol.7, pp.25-31, 1994.

A. Vazquez, A balanced differential learning algorithm in fuzzy cognitive maps, 2002.

E. I. Papageorgiou, C. D. Stylios, and P. P. Groumpos, Fuzzy Cognitive Map Learning Based on Nonlinear Hebbian Rule, Australian Conference on Artificial Intelligence, pp.256-268, 2003.
DOI : 10.1007/978-3-540-24581-0_22

E. I. Papageorgiou, C. D. Stylios, and P. P. Groumpos, Active Hebbian learning algorithm to train fuzzy cognitive maps, International Journal of Approximate Reasoning, vol.37, issue.3, pp.219-249, 2004.
DOI : 10.1016/j.ijar.2004.01.001

W. Stach, L. Kurgan, and W. Pedrycz, Data-driven Nonlinear Hebbian Learning method for Fuzzy Cognitive Maps, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence), pp.1975-1981, 2008.
DOI : 10.1109/FUZZY.2008.4630640

A. Konar and U. K. Chakraborty, Reasoning and unsupervised learning in a fuzzy cognitive map, Information Sciences, vol.170, issue.2-4, pp.419-441, 2005.
DOI : 10.1016/j.ins.2004.03.012

K. E. Parsopoulos, E. I. Papageorgiou, P. P. Groumpos, and M. N. Vrahatis, A first study of fuzzy cognitive maps learning using particle swarm optimization, The 2003 Congress on Evolutionary Computation, 2003. CEC '03., pp.1440-1447, 2003.
DOI : 10.1109/CEC.2003.1299840

D. E. Koulouriotis, I. E. Diakoulakis, and D. M. Emiris, Learning fuzzy cognitive maps using evolution strategies: a novel schema for modeling and simulating high-level behavior, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546), pp.364-371, 2001.
DOI : 10.1109/CEC.2001.934413

W. Stach, L. Kurgan, W. Pedrycz, and M. Reformat, Genetic learning of fuzzy cognitive maps, Fuzzy Sets and Systems, vol.153, issue.3, pp.371-401, 2005.
DOI : 10.1016/j.fss.2005.01.009

S. Alizadeh, M. Ghazanfari, M. Jafari, and S. Hooshmand, Learning FCM by tabu search, Int. J. Comput. Sci, vol.2, issue.2, pp.142-149, 2007.

C. Lin, K. Chen, and Y. He, Learning fuzzy cognitive map based on immune algorithm, WSEAS Trans. Syst, vol.6, issue.3, pp.582-588, 2007.

E. Yesil and L. Urbas, Big Bang -Big Crunch Learning Method for Fuzzy Cognitive Maps, International Conference on Control, Automation and Systems Engineering, 2010.

A. Baykasoglu, Z. D. Durmusoglu, and V. Kaplanoglu, Training Fuzzy Cognitive Maps via Extended Great Deluge Algorithm with applications, Computers in Industry, vol.62, issue.2, pp.187-195, 2011.
DOI : 10.1016/j.compind.2010.10.011

E. Yesil, C. Ozturk, M. F. Dodurka, and A. Sakalli, Fuzzy cognitive maps learning using Artificial Bee Colony optimization, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2013.
DOI : 10.1109/FUZZ-IEEE.2013.6622524

M. S. Khan and A. Chong, Fuzzy cognitive map analysis with genetic algorithm, In: Ind. Int. Conf. Artif. Intell, 2003.

E. Yesil and M. F. Dodurka, Goal-oriented decision support using Big Bang-Big Crunch learning based Fuzzy Cognitive Map: An ERP management case study, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2013.
DOI : 10.1109/FUZZ-IEEE.2013.6622488

E. I. Papageorgiou and P. P. Groumpos, A new hybrid method using evolutionary algorithms to train Fuzzy Cognitive Maps, Applied Soft Computing, vol.5, issue.4, pp.409-431, 2005.
DOI : 10.1016/j.asoc.2004.08.008

Y. Zhu and W. Zhang, An Integrated Framework for Learning Fuzzy Cognitive Map using RCGA and NHL Algorithm, 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing, 2008.
DOI : 10.1109/WiCom.2008.2527

W. Stach, L. Kurgan, and W. Pedrycz, A survey of fuzzy cognitive map learning methods, Issues in Soft Computing: Theory and Applications, Exit, pp.71-84, 2005.

W. Stach, L. Kurgan, and W. Pedrycz, A divide and conquer method for learning large Fuzzy Cognitive Maps, Fuzzy Sets and Systems, vol.161, issue.19, pp.2515-2532, 2010.
DOI : 10.1016/j.fss.2010.04.008

G. A. Banini and R. A. Bearman, Application of fuzzy cognitive maps to factors affecting slurry rheology, International Journal of Mineral Processing, vol.52, issue.4, pp.233-244, 1998.
DOI : 10.1016/S0301-7516(97)00071-9

O. K. Erol and I. Eksin, A new optimization method: Big Bang???Big Crunch, Advances in Engineering Software, vol.37, issue.2, pp.106-111, 2006.
DOI : 10.1016/j.advengsoft.2005.04.005

E. Yesil, L. Urbas, and A. Demirsoy, FCM-GUI: A graphical user interface for Big Bang-Big Crunch Learning of FCM, Fuzzy Cognitive Maps for Applied Sciences and Engineering ? From Fundamentals to Extensions and Learning Algorithms Intelligent Systems Reference Library, Ed. Elpiniki Papageorgiou, 2013.