Genetic learning of fuzzy cognitive maps

Fuzzy Sets and Systems

Volumn 153, Issue 3, 2005, Pages 371-401

  Stach, Wojciech ^a   Kurgan, Lukasz ^a   Pedrycz, Witold ^a   Reformat, Marek ^a  

^a UNIVERSITY OF ALBERTA   (Canada)

Author keywords

Decision analysis; Dynamic system modelling; Fuzzy cognitive maps; Genetic algorithms

Indexed keywords

BENCHMARKING; DECISION THEORY; FUZZY SETS; LEARNING SYSTEMS; MATHEMATICAL MODELS; OPTIMIZATION; SYSTEMS ANALYSIS; VECTORS;

DYNAMIC SYSTEM MODELING; FAULT MANAGEMENT; FUZZY COGNITIVE MAPS; HUMAN INTERVENTION;

GENETIC ALGORITHMS;

EID: 18844368861     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fss.2005.01.009     Document Type: Article

References (47)

1. J. Aguilar, Adaptive random fuzzy cognitive maps, Proc. 8th Ibero-American Conf. on AI, 2002, pp. 402-410.
2. J. Aguilar A dynamic fuzzy-cognitive-map approach based on random neural networks Internat. J. Comput. Cognition 1 4 2003 91 107
3. J. Aguilar A survey about fuzzy cognitive maps papers (Invited Paper) Internat. J. Comput. Cognition 3 2 2005 27 33
4. R. Axelrod Structure of Decision The Cognitive Maps of Political Elites 1976 Princeton University Press Princeton, NJ
5. C. Carlsson, R. Fuller, Adaptive fuzzy cognitive maps for hyperknowledge representation in strategy formation process, Proc. Internat. Panel Conf. on Soft and Intelligent Computing, 1996, pp. 43-50.
6. K. Deb An introduction to genetic algorithms Sadhana 24 4 1999 205 230
7. J.A. Dickerson, and B. Kosko Fuzzy virtual worlds Artif. Intel. Expert 7 1994 25 31
8. J.A. Dickerson, and B. Kosko Virtual worlds as fuzzy cognitive maps Presence 3 2 1994 173 189
9. V.C. Georgopoulos, G.A. Malandraki, and C.D. Stylios A fuzzy cognitive map approach to differential diagnosis of specific language impairment J. Artif. Intel. Med. 29 3 2003 261 278
10. D.E. Goldberg Genetic Algorithms in Search, Optimization, and Machine Learning 1989 Addison-Wesley Reading, MA
11. K. Gotoh, J. Murakami, T. Yamaguchi, Y. Yamanaka, Application of fuzzy cognitive maps to supporting for plant control, Proc. SICE Joint Symp. 15th Systems Symp. and Tenth Knowledge Engineering Symp., 1989, pp. 99-104.
12. F. Herrera, M. Lozano, and J.L. Verdegay Tackling real-coded genetic algorithms operators and tools for behavioural analysis Artif. Intel. Rev. 12 4 1998 265 319
13. D. Kardaras, and G. Mentzas Using fuzzy cognitive maps to model and analyse business performance assessment J. Chen A. Mital Advances in Industrial Engineering Applications and Practice II 1997 63 68
14. M.S. Khan, A. Chong, Fuzzy cognitive map analysis with genetic algorithm, Proc. 1st Indian Internat. Conf. on Artificial Intelligence (IICAI-03), 2003
15. M. Khan, and M. Quaddus Group decision support using fuzzy cognitive maps for causal reasoning Group Decision Negotiation J. 13 5 2004 463 480
16. B. Kosko Fuzzy cognitive maps Internat. J. Man-Mach. Studies 24 1986 65 75
17. B. Kosko Hidden patterns in combined and adaptive knowledge networks Internat. J. Approx. Reason. 2 1988 377 393
18. B. Kosko Neural Networks and Fuzzy Systems 1992 Prentice-Hall Englewood Cliffs, NJ
19. B. Kosko Fuzzy Engineering 1997 Prentice-Hall Englewood Cliffs, NJ
20. D.E. Koulouriotis, I.E. Diakoulakis, D.M. Emiris, Anamorphosis of fuzzy cognitive maps for operation in ambiguous and multi-stimulus real world environments, 10th IEEE Internat. Conf. on Fuzzy Systems, 2001, pp. 1156-1159.
21. D.E. Koulouriotis, I.E. Diakoulakis, D.M. Emiris, Learning fuzzy cognitive maps using evolution strategies: a novel schema for modeling and simulating high-level behavior, IEEE Congr. on Evolutionary Computation (CEC2001), 2001, pp. 364-371.
22. D.E. Koulouriotis, I.E. Diakoulakis, D.M. Emiris, E.N. Antonidakis, and I.A. Kaliakatsos Efficiently modeling and controlling complex dynamic systems using evolutionary fuzzy cognitive maps (Invited Paper) Internat. J. Comput. Cognition 1 2 2003 41 65
23. K.C. Lee, W.J. Lee, O.B. Kwon, J.H. Han, and P.I. Yu Strategic planning simulation based on fuzzy cognitive map knowledge and differential game Simulation 71 5 1998 316 327
24. Z. Michalewicz Genetic Algorithms + Data Structures = Evolution Programs 1992 Springer Berlin
25. S.T. Mohr, The use and interpretation of fuzzy cognitive maps, Master's Project, Rensselaer Polytechnic Institute, 1997.
26. H. Mühlenbein, and D. Schlierkamp-Voosen Predictive models for the breeder genetic algorithm I. continuous parameter optimization Evol. Comput. 1 1 1993 25 49
27. T.D. Ndousse, T. Okuda, Computational intelligence for distributed fault management in networks using fuzzy cognitive maps, Proc. IEEE Internat. Conf. Communications Converging Technologies for Tomorrow's Application, 1996, pp. 1558-1562.
28. E.I. Papageorgiou, K.E. Parsopoulos, C.D. Stylios, P.P. Groumpos, M.N. Vrahatis, Fuzzy cognitive maps learning using particle swarm optimization, J. Intel. Inform. Systems, in press.
29. E. Papageorgiou, C.D. Stylios, P.P. Groumpos, Fuzzy cognitive map learning based on nonlinear Hebbian rule, Australian Conf. on Artificial Intelligence, 2003, pp. 256-268.
30. E. Papageorgiou, C.D. Stylios, and P.P. Groumpos Active Hebbian learning algorithm to train fuzzy cognitive maps Internat. J. Approx. Reason. 37 3 2004 219 249
31. K.E. Parsopoulos, E.I. Papageorgiou, P.P. Groumpos, M.N. Vrahatis, A first study of fuzzy cognitive maps learning using particle swarm optimization, Proc. IEEE 2003 Congr. on Evolutionary Computation, 2003, pp. 1440-1447.
32. C.E. Pelaez, J.B. Bowles, Applying fuzzy cognitive maps knowledge representation to failure modes effects analysis, Proc. IEEE Annu. Symp. on Reliability and Maintainability, 1995, pp. 450-456.
33. S. Renals, and R. Rohwer A study of network dynamics J. Statist. Phys. 58 1990 825 848
34. T.L. Saaty The Analytic Hierarchy Process Planning, Priority Setting, Resource Allocation 1980 McGraw-Hill New York
35. M. Schneider, E. Shnaider, A. Kandel, and G. Chew Automatic construction of FCMs Fuzzy Sets and Systems 93 2 1998 161 172
36. A. Siraj, S. Bridges, R. Vaughn, Fuzzy cognitive maps for decision support in an intelligent intrusion detection system, IFSA World Congr. and 20th NAFIPS Internat. Conf., vol. 4, 2001, pp. 2165-2170.
37. W. Stach, L. Kurgan, Modeling software development project using fuzzy cognitive maps, Proc. 4th ASERC Workshop on Quantitative and Soft Software Engineering (QSSE'04), 2004, pp. 55-60.
38. W. Stach, L. Kurgan, W. Pedrycz, M. Reformat, Parallel fuzzy cognitive maps as a tool for modeling software development project, Proc. 2004 North American Fuzzy Information Processing Society Conf. (NAFIPS'04), Banff, AB, 2004, pp. 28-33.
39. M.A. Styblinski, and B.D. Meyer Signal flow graphs versus fuzzy cognitive maps in application to qualitative circuit analysis Internat. J. Man Mach. Studies 35 1991 175 186
40. C.D. Stylios, and P.P. Groumpos The challenge of modelling supervisory systems using fuzzy cognitive maps J. Intel. Manuf. 9 4 1998 339 345
41. C.D. Stylios, and P.P. Groumpos Fuzzy cognitive maps a model for intelligent supervisory control systems Comput. Ind. 39 3 1999 229 238
42. C.D. Stylios, and P.P. Groumpos Fuzzy cognitive map in modeling supervisory control systems J. Intel. & Fuzzy Systems 8 2 2000 83 98
43. C.D. Stylios, and P.P. Groumpos Modeling complex systems using fuzzy cognitive maps IEEE Trans. Systems Man, Cybern. Part A Systems Humans 34 1 2004
44. A.K. Tsadiras, Using fuzzy cognitive maps for e-commerce strategic planning, Proc. 9th Panhellenic Conf. on Informatics (EPY' 2003), 2003.
45. A.K. Tsadiras, and K. Margaritis An experimental study of the dynamics of the certainty neuron fuzzy cognitive maps Neurocomputing 24 1999 95 116
46. A. Vazquez, A balanced differential learning algorithm in fuzzy cognitive maps, Technical Report, Departament de Llenguatges I Sistemes Informatics, Universitat Politecnica de Catalunya (UPC), 2002.
47. A. Wright, Genetic algorithms for real parameter optimization, Foundations of Genetic Algorithms, Morgan Kaufmann, Los Altos, CA, 1991, pp. 205-218.