Fuzzy Cognitive Networks: Adaptive network estimation and control paradigms

Studies in Fuzziness and Soft Computing

Volumn 247, Issue , 2010, Pages 89-134

  Kottas, Thodoris L ^a   Boutalis, Yiannis S ^a   Christodoulou, Manoli A ^b  

^a DEMOCRITUS UNIVERSITY OF THRACE   (Greece)

^b TECHNICAL UNIVERSITY OF CRETE   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 77956530787     PISSN: 14349922     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-03220-2_5     Document Type: Conference Paper

References (67)

1. Kosko, B.: Fuzzy Cognitive Maps. International Journal ofMan-Machine Studies, 65-75 (1986)
2. Axelrod, R.: Structure of Decision. In: The Cognitive Maps of Political Elites, Princeton University Press, New Jersey (1976)
3. Stylios, C., Groumpos, P.: Fuzzy Cognitive Maps inModelling Supervisory Control Systems. Journal of Intelligent and Fuzzy Systems 8, 83-98 (2000)
4. Stylios, C., Groumpos, P.: A soft computing approach for modelling the supervisor of manufacturing systems. Journal of Intelligent and Robotics Systems 26(34), 389-403 (1999)
5. Stylios, C., Groumpos, P., Georgopoulos, V.: A Fuzzy Cognitive Maps approach to process control systems. Journal of Intelligent and Robotics Systems 26(34), 389-403 (1999)
6. Schneider, M., Shnaider, E., Kandel, A., Chew, G.: Constructing fuzzy cognitive maps. In: International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium, vol. 4(1), pp. 2281-2288 (1995)
7. Kosko, B.:Differential Hebbian Learning. In: Proceedings American Institute of Physics, Neural Networks for Computing, pp. 277-282 (1986)
8. Craiger, P., Coovert, M.D.: Modeling dynamic social and psychological processes with fuzzy cognitive maps. In: IEEE World Congress on Computational Intelligence and Fuzzy Systems, vol. 3, pp. 1873-1877 (1994)
9. Tsadiras, A., Kouskouvelis, I.: Using Fuzzy Cognitive Maps as a Decision Support System for Political Decisions: The Case of Turkeys Integration into the European Union. In: Bozanis, P., Houstis, E.N. (eds.) PCI 2005. LNCS, vol. 3746, pp. 371-381. Springer, Heidelberg (2005)
10. Koulouriotis, D.E., Diakoulakis, I.E., Emiris, D.M.: A fuzzy cognitive map-based stock market model: synthesis, analysis and experimental results. In: 10th IEEE International Conference on Fuzzy Systems, pp. 465-468 (2001)
11. Carvalho, J.P., Tome, J.A.B.: Qualitative modelling of an economic system using rulebased fuzzy cognitive maps. In: IEEE International Conference on Fuzzy Systems, vol. 2, pp. 659-664 (2004)
12. Xirogiannis, G., Glykas, M.: Fuzzy Cognitive Maps in Business Analysis and Performance Driven Change. IEEE Transactions on Engineering Management 51(3), 334-351 (2004)
13. Glykas, M., Xirogiannis, G.: A soft knowledge modeling approach for geographically dispersed financial organizations. Soft Computing 9(8), 579-593 (2005)
14. Xirogiannis, G., Glykas, M.: Intelligent Modeling of e-Business Maturity. Expert Systems with Applications 32(2), 687-702 (2007)
15. Xirogiannis, G., Chytas, P., Glykas, M., Valiris, G.: Intelligent impact assessment of HRM to the shareholder value. Expert Systems with Applications 35(4), 2017-2031 (2008)
16. Kottas, T., Boutalis, Y., Devedzic, G., Mertzios, B.: A new method for reaching equilibrium points in Fuzzy Cognitive Maps. In: Proceedings of 2nd International IEEE Conference of Intelligent Systems, Varna Burgaria, pp. 53-60 (2004)
17. Georgopoulos, V., Malandraki, G., Stylios, C.: A fuzzy cognitive map approach to differential diagnosis of specific language impairment. Artificial Intelligence in Medicine 29(3), 261-278 (2003)
18. Zhang, W., Chen, S., Bezdek, J.: Pool2: A Generic System for Cognitive Map Development and Decision Analysis. IEEE Transactions on Systems, Man, and Cybernetics 19(1), 31-39 (1989)
19. Satur, R., Liu, Z.-Q.: A contextual fuzzy cognitive map framework for geographic information systems. IEEE Transactions on Fuzzy Systems 7(5), 481-494 (1999) (Pubitemid 32081734)
20. Liu, Z.-Q., Satur, R.: Contextual fuzzy cognitive map for decision support in geographic information systems. IEEE Transactions on Fuzzy Systems 7(5), 495-507 (1999) (Pubitemid 32081735)
21. Satur, R., Liu, Z.-Q.: Contextual fuzzy cognitive maps for geographic information systems. In: IEEE International Conference on Fuzzy Systems, vol. 2, pp. 1165-1169 (1999)
22. Carvalho, J.P., Carola, M., Tome, J.A.B.: Using Rule-based Fuzzy Cognitive Maps to Model Dynamic Cell Behavior in Voronoi Based Cellular Automata. In: IEEE International Conference on Fuzzy Systems, pp. 1687-1694 (2006)
23. Papakostas, G., Boutalis, Y., Koulouriotis, D., Mertzios, B.: Fuzzy Cognitive Maps for Pattern Recognition Applications. International Journal at Pattern Recognition and Artificial Intelligence (2008) (in press)
24. Papakostas, G., Boutalis, Y., Koulouriotis, D., Mertzios, B.: A First Study of Pattern Classification using Fuzzy Cognitive Maps. In: International Conference on Systems, Signals and Image Processing-INSSIP 2006, pp. 369-374 (2006)
25. Stach, W., Kurgan, L.A., Pedrycz, W.: Numerical and Linguistic Prediction of Time SeriesWith the Use of Fuzzy Cognitive Maps. IEEE Transactions on Fuzzy Systems 16(1), 61-72 (2008)
26. Silva, P.C.: Fuzzy cognitive maps over possible worlds. In: International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium, vol. 2, pp. 555-560 (1995)
27. Dickerson, J.A., Kosko, B.: Virtual worlds as fuzzy cognitive maps. In: Virtual Reality Annual International Symposium, pp. 471-477 (1993)
28. Koulouriotis, D.E., Diakoulakis, I.E., Emiris, D.M.: Anamorphosis of fuzzy cognitive maps for operation in ambiguous and multi-stimulus real world environments. In: 10th IEEE International Conference on Fuzzy Systems, pp. 1156-1159 (2001)
29. Parenthoen, M., Reignier, P., Tisseau, J.: Put fuzzy cognitive maps to work in virtual worlds. In: 10th IEEE International Conference on Fuzzy Systems, vol. 1, pp. 252-255 (2001)
30. Xin, J., Dickerson, J.E., Dickerson, J.A.: Fuzzy feature extraction and visualization for intrusion detection. In: 12th IEEE International Conference on Fuzzy Systems, pp. 1249-1254 (2003)
31. Zhang, W., Chen, S., Wang, W., King, R.: A Cognitive Map Based Approach to the Coordination of Distributed Cooperative Agents. IEEE Transactions on Systems, Man, and Cybernetics 22(1), 103-114 (1992)
32. Hagiwara, M.: Extended fuzzy cognitive maps. In: IEEE International Conference on Fuzzy Systems, pp. 795-801 (1992)
33. Zhang, J.Y., Liu, Z.-Q., Zhou, S.: Quotient FCMs-a decomposition theory for fuzzy cognitive maps. IEEE Transactions on Fuzzy Systems 11(5), 593-604 (2003)
34. Zhang, B.Y., Liu, Z.-Q.: Quotient fuzzy cognitive maps. In: 10th IEEE International Conference on Fuzzy Systems, vol. 1, pp. 180-183 (2001)
35. Miao, Y., Liu, Z., Siew, C., Miao, C.: Dynamical Cogntive Network-an Extension of Fuzzy Cognitive Map. IEEE transactions on Fuzzy Systems 9(5), 760-770 (2001)
36. Zhang, J., Liu, Z.-Q., Zhou, S.: Dynamic Domination in Fuzzy Causal Networks. IEEE Transactions on Fuzzy Systems 14(1), 42-57 (2006)
37. Miao, Y., Liu, Z.-Q.: On causal inference in fuzzy cognitive maps. IEEE Transactions on Fuzzy Systems 8(1), 107-119 (2000)
38. Zhang, J.Y., Liu, Z.-Q.: Dynamic domination for fuzzy cognitive maps. In: IEEE International Conference on Fuzzy Systems, vol. 1, pp. 145-149 (2002)
39. Liu, Z.-Q., Miao, Y.: Fuzzy cognitive map and its causal inferences. In: IEEE International Conference on Fuzzy Systems, vol. 3, pp. 1540-1545 (1999)
40. Zhou, S., Liu, Z.-Q., Zhang, J.Y.: Fuzzy causal networks: general model, inference, and convergence. IEEE Transactions on Fuzzy Systems 14(3), 412-420 (2006)
41. Smarandache, F.: An Introduction to Neutrosophy, Neutrosophic Logic, Neutrosophic Set, and Neutrosophic Probability and Statistics. In: Proceedings of the First International Conference on Neutrosophy, Neutrosophic Logic, Neutrosophic Set, Neutrosophic Probability and Statistics, University of New Mexico-Gallup, (1-3), pp. 5-22 (2001)
42. Kandasamy, V., Smarandache, F.: Fuzzy Cognitive Maps and Neutrosophic Cognitive Maps. In: ProQuest Information & Learning, University of Microfilm International (2003)
43. Kottas, T.L., Boutalis, Y.S., Christodoulou, M.A.: Fuzzy Cognitive Networks: A General Framework. Inteligent Desicion Technologies 1(4), 183-196 (2007)
44. Huerga, A.: A Balanced Differential Learning algorithm in Fuzzy Cognitive Maps. In: Proc. of the Sixteenth Intern.Workshop on Qualitative Reasoning (2002) (poster)
45. Papageorgiou, E., Groumpos, P.: A weight adaptation method for Fuzzy Cognitive Maps to a process control problem. In: Budak, M., et al. (eds.) ICCS 2004. LNCS, vol. 3037, pp. 515-522. Springer, Heidelberg (2004)
46. Papageorgiou, E., Stylios, C., Groumpos, P.: Active Hebbian Learning Algorithm to train Fuzzy Cognitive Maps. International Journal of Approximate Reasoning 37(3), 219-247 (2004)
47. Aguilar, J.: Adaptive Random Fuzzy Cognitive Maps. In: Garijio, F.J., Riquelme, J.C., Toro, M. (eds.) IBERAMIA 2002. LNCS (LNAI), vol. 2527, pp. 402-410. Springer, Heidelberg (2002)
48. Stach,W.,Kurgan, L.A., Pedrycz,W.:Data-driven nonlinear hebbian learning method for fuzzy cognitive maps. In: 2008 World Congress on Computational Intelligence, WCCI 2008 (2008)
49. Koulouriotis, D., Diakoulakis, I., Emiris, D.: Learning Fuzzy Cognitive Maps using evolution strategies: A novel schema for modeling a simulating high-level behavior. In: Proceedings of IEEE Congress on Evolutionary Computation, vol. 1, pp. 364-371 (2001)
50. Papageorgiou, E., Parsopoulos, K., Stylios, C., Groumpos, P., Vrahatis, M.: Fuzzy Cognitive Maps Learning Using Particle Swarm Optimization. International Journal of Intelligent Information Systems 25(1), 95-121 (2005)
51. Khan, M., Khor, S., Chong, A.: Fuzzy cognitive maps with genetic algorithm for goaloriented decision support. Int. J. Uncertainty, Fuzziness and Knowledge-based Systems 12, 31-42 (2004)
52. Stach, W., Kurgan, L., Pedrycz, W., Reformat, M.: Evolutionary Development of Fuzzy Cognitive Maps. In: 14th IEEE International Conference on Fuzzy Systems, pp. 619-624 (2005) (Pubitemid 41189578)
53. Stach, W., Kurgan, L., Pedrycz, W., Reformat, M.: Genetic learning of fuzzy cognitive maps. Fuzzy sets and systems 153(3), 371-401 (2005) (Pubitemid 40682456)
54. Dickerson, J., Kosko, B.: Virtual worlds as Fuzzy Cognitive Maps. Presence 3(2), 173-189 (2006)
55. Kosko, B.: Fuzzy Engineering. Prentice Hall, Englewood Cliffs (1997)
56. Tsadiras, A.: Comparing the inference capabilities of binary, trivalent and sigmoid fuzzy cognitive maps. Information Science 178, 3880-3894 (2008)
57. Boutalis, Y., Kottas, T., Christodoulou, M.: On the Existence and Uniqueness of Solutions for the Concept Values in Fuzzy Cognitive Maps. In: Proceedings of 47th IEEE Conference on Decision and Control-CDC 2008, Cancun, Mexico, December 9-11, pp. 98-104 (2008)
58. Boutalis, Y., Kottas, T., Christodoulou, M.: Adaptive Estimation of Fuzzy Cognitive Maps With Proven Stability and Parameter Convergence. IEEE Transactions on Fuzzy Systems (2009), doi:10.1109TFUZZ, 2017519 59.
59. Kottas, T., Boutalis, Y., Christodoulou, M.: A new method for weight updating in Fuzzy cognitive Maps using system Feedback. In: 2nd International Conference on Informatics in Control, Automation and Robotics (ICINCO 2005), Barcelona, Spain, pp. 202-209 (2005)
60. Kottas, T.L., Boutalis, Y.S., Karlis, A.D.: A New Maximum Power Point Tracker for PV Arrays Using Fuzzy Controller in Close Cooperation with Fuzzy Cognitive Networks. IEEE Transactions on Energy Conversion 21(3), 793-803 (2006)
61. Kottas, T., Boutalis, Y., Diamantis, V., Kosmidou, O., Aivasidis, A.: A Fuzzy Cognitive Network Based Control Scheme for an Anaerobic Digestion Process. In: 14th Mediterranean Conference on Control and Applications, Ancona, Italy. Session TMS Process Control, vol. 1 (2006)
62. Rudin, W.: Principles of Mathematical Analysis, pp. 220-221. McGraw-Hill Inc., New York (1964)
63. Ioannou, P., Fidan, B.: Adaptive Control Tutorial. Society for Industrial and Applied Mathematics (SIAM), Philadelphia (2006)
64. Karlis,A.D., Kottas, T.L., Boutalis, Y.S.:A novel maximum power point tracking method for PV systems using fuzzy cognitive networks (FCN). Electric Power System Research 77(3-4), 315-327 (2007)
65. Kranas, A., Dugundji, J.: Fixed Point Theory. Springer, New York (2003)
66. Kottas, T., Boutalis, Y., Christodoulou, M.: Bilinear Adaptive Parameter Estimation in Fuzzy Cognitive Networks. In: Alippi, C., Polycarpou, M., Panayiotou, C., Ellinas, G. (eds.) ICANN 2009. LNCS, vol. 5769, pp. 875-884. Springer, Heidelberg (2009)
67. Passino, K.M., Yurkovich, S.: Fuzzy Control. Addison-Wesley Longman, Amsterdam (1998)