Fuzzy cognitive maps learning using Artificial Bee Colony optimization

IEEE International Conference on Fuzzy Systems

Volumn , Issue , 2013, Pages

  Yesil, Engin ^a   Ozturk, Cihan ^a   Furkan Dodurka, M ^a,b   Sakalli, Ahmet ^a  

^a ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

^b YILDIZ TECHNICAL UNIVERSITY   (Turkey)

Author keywords

Artificial bee colony optimization; ERP management; Fuzzy cognitive maps; Learning

Indexed keywords

ARTIFICIAL BEE COLONIES (ABC); ARTIFICIAL BEE COLONY OPTIMIZATIONS; AUTOMATED GENERATION; FUZZY COGNITIVE MAP; FUZZY COGNITIVE MAPS (FCMS); GLOBAL OPTIMIZATION ALGORITHM; LEARNING; SIMULATION AND ANALYSIS;

ALGORITHMS; FUZZY RULES; GLOBAL OPTIMIZATION; MATHEMATICAL MODELS; OPTIMIZATION;

FUZZY SYSTEMS;

EID: 84887836446     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZ-IEEE.2013.6622524     Document Type: Conference Paper

References (51)

1. R. Axelrod, Structure of Decision: The Cognitive Maps of Political Elites. Princeton University Press, Princeton, New Jersey, 1976.
2. B. Kosko, "Fuzzy cognitive maps," International Journal of Man-Machine Studies, vol. 24, pp. 65-75, 1986.
3. J. Aguilar, "A survey about fuzzy cognitive maps papers," International Journal of Computational Cognition, vol. 3 no. 2, pp. 27-33, 2005.
4. E. I. Papageorgiou, J. L. Salmeron, "A Review of Fuzzy Cognitive Map research during the last decade," accepted for publication in IEEE Transactions on Fuzzy Systems, vol. 21 no. 1, pp. 66-79, 2013.
5. C. D. Stylios, P. P. Groumpos, "Modeling Complex Systems Using Fuzzy Cognitive Maps," IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans, vol. 34 no. 1, pp. 155-162, 2004.
6. C. D. Stylios, P. P. Groumpos, "The challenge of modelling supervisory systems using fuzzy cognitive maps," Journal of Intelligent Manufacturing, vol. 9, pp. 339-345, 1998.
7. E. I. Papageorgiou, C. Stylios, P. Groumpos, "Unsupervised learning techniques for fine-tuning fuzzy cognitive map causal links," International Journal of Human-Computer Studies, vol. 64, pp. 727-743, 2006.
8. S. Lee, H. Ahn, "Fuzzy cognitive map based on structural equation modeling for the design of controls in business-to-consumer ecommerce web-based systems," Expert Systems with Applications, vol. 36 no. 7, pp. 10447-10460, 2009.
9. M. Glykas, "Fuzzy cognitive strategic maps in business process performance measurement," Expert Systems with Applications, vol. 40 no. 1, pp. 1-14, 2013.
10. E. I. Papageorgiou, J. D. Roo, C. Huszka, D. Colaert, "Formalization of treatment guidelines using Fuzzy Cognitive Mapping and semantic web tools," Journal of Biomedical Informatics, vol. 45 no. 1, pp. 45-60, 2012.
11. E. I. Papageorgiou, W. Froelich, "Application of Evolutionary Fuzzy Cognitive Maps for Prediction of Pulmonary Infections," IEEE Transactions on Information Technology in Biomedicine, vol. 16 no. 1, pp. 143-149, 2012.
12. E. I. Papageorgiou, "A new methodology for Decisions in Medical Informatics using fuzzy cognitive maps based on fuzzy rule-extraction techniques," Applied Soft Computing, vol. 11 no. 1, pp. 500-513, 2011.
13. N. Douali, E. I. Papageorgiou, J. De Roo, M. C. Jaulent, "Case based fuzzy cognitive maps: new method for medical reasoning: comparison study between CBFCM/FCM," IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 844-850, 2011.
14. O. Motlagh, S. H. Tang, N. Ismail, A. R. Ramli, "An expert fuzzy cognitive map for reactive navigation of mobile robots," Fuzzy Sets and Systems, vol. 201, pp. 105-121, 2012.
15. O. Motlagh, S. H. Tang, A. R. Ramli, D. Nakhaeinia, "An FCM modeling for using a priori knowledge: application study in modeling quadruped walking," Neural Computing & Applications, vol. 21 no. 5, pp. 1007-1015, 2012.
16. K. Kok, "The potential of Fuzzy Cognitive Maps for semi-quantitative scenario development, with an example from Brazil," Global Environmental Change, vol. 19 no. 1, pp. 122-133, 2009.
17. D. S. L. Ramsey et al., "An approximate Bayesian algorithm for training fuzzy cognitive map models of forest responses to deer control in a New Zealand adaptive management experiment," Ecological Modelling, vol. 240, pp. 93-104, 2012.
18. G. Acampora, V. Loia, "On the Temporal Granularity in Fuzzy Cognitive Maps," IEEE Transactions Fuzzy Systems, Vol. 19 no. 6, pp. 1040-1057,2011.
19. G. Buyukozkan, Z. Vardaloglu, "Analyzing of CPFR success factors using fuzzy cognitive maps in retail industry," Expert Systems With Applications, vol. 39 no. 12, pp. 10438-10455, 2012.
20. K. C. Lee, S. Lee, "A causal knowledge-based expert system for planning an Internet-based stock trading system," Expert Systems With Applications, vol. 39 no. 10, 8626-8635, 2012.
21. S. Alizadeh and M. Ghazanfari, "Learning FCM by chaotic simulated annealing," Chaos, Solutions & Fractals, vol. 41 no. 3, pp. 1182-1190, 2009.
22. E. I. Papageorgiou "Learning algorithms for fuzzy cognitive maps: A review study," IEEE Trans. Syst., Man Cybern. C Appl. Rev., vol. 42 no. 2, pp. 150-163, 2011.
23. J. A. Dickerson and B. Kosko, "Fuzzy virtual worlds", Artif. Intell. Expert, vol. 7, pp. 25-31, 1994.
24. 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.
25. E. I. Papageorgiou, C. D. Stylios and pp. Groumpos, "Fuzzy cognitive map learning based on nonlinear Hebbian rule", in Australian conference on artificial intelligence, pp. 256-268, 2003.
26. E. I. Papageorgiou, C. D. Stylios and pp. Groumpos, "Active Hebbian learning algorithm to train fuzzy cognitive maps", Int. J. Approx. Reason., vol. 37 no. 3, pp. 219-249, 2004.
27. A. Konar and U. K. Chakraborty, "Reasoning and unsupervised learning in a fuzzy cognitive map," Inf. Sci., vol. 170, pp. 419-441, 2005.
28. 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," in Proc. IEEE Congr. Evol. Comput., pp. 364-371, 2001.
29. W. Stach, L. A. Kurgan, W. Pedrycz, and M. Reformat, "Genetic learning of fuzzy cognitive maps," Fuzzy Sets Syst., vol. 153, no. 3, pp. 371-401, 2005.
30. W. Stach, L. Kurgan, and W. Pedrycz, "A divide and conquer method for learning large fuzzy cognitive maps," Fuzzy Sets Syst., vol. 161, no. 19, pp. 2515-2532, 2010.
31. 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," in Proc. IEEE Congr. Evol. Comput, pp. 1440-1447, 2003.
32. M. Ghazanfari, S. Alizadeh, M. Fathian and D. E. Koulouriotis, "Comparing simulated annealing and genetic algorithm in learning FCM," Appl. Math Comput., vol. 192 no. 1, pp. 56-68, 2007.
33. S. Alizadeh, M. Ghazanfari, M. Jafari, and S. Hooshmand, "Learning FCM by tabu search," Int. J. Comput. Sci., vol. 2, no. 2, pp. 142-149, 2007.
34. C. Lin, K. Chen, and Y. He, "Learning fuzzy cognitive map based on immune algorithm," WSEAS Trans. Syst., vol. 6, no. 3, pp. 582-588, 2007.
35. X. Luo, X. Wei, and J. Zhang, "Game-based learning model using fuzzy cognitive map," in Proc 1st ACM Int. Workshop Multimedia Technol. Dist. Learn., pp. 67-76, 2009.
36. Y. G. Petalas, K. E. Parsopoulos, and M. N. Vrahatis, "Improving fuzzy cognitive maps learning through memetic particle swarm optimization," Soft Comput. J., vol. 13, pp. 77-94, 2009.
37. E. Yesil and L. Urbas, "Big bang-big crunch learning method for fuzzy cognitive maps", World Academy of Science, Engineering & Technology, vol. 71, pp. 816-825, 2010.
38. A. Baykasoglu, Z. D. U. Durmusoglu, and V. Kaplanoglu, "Training fuzzy cognitive maps via extended great deluge algorithm with applications," Comput. Ind., vol. 62, no. 2, pp. 187-195, 2011.
39. W. Stach, W. Pedrycz, L.A. Kurgan, "Learning of fuzzy cognitive maps using density estimate," IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 42, no. 3, pp. 900-912, 2012.
40. E. I. Papageorgiou and P. P. Groumpos, "A new hybrid learning algorithm for fuzzy cognitive maps learning," Appl. Soft Comput., vol. 5, pp. 409-431, 2005.
41. Y. Zhu and W. Zhang, "An integrated framework for learning fuzzy cognitive map using RCGA and NHL algorithm," Int. Conf. Wireless Commun., Netw. Mobile Comput., 2008.
42. M. S. Khan and A. Chong, "Fuzzy cognitive map analysis with genetic algorithm," Ind. Int. Conf. Artif. Intell., Hyderabad, India, 2003.
43. E. Yesil, M. F. Dodurka, "Goal-Oriented Decision Suport using Big Bang-Big Crunch Learning Based Fuzzy Cognitive Map: An ERP Management Case Study," IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2013.
44. D. Karaboga, "An idea based on honey bee swarm for numerical optimization," Techical Report No: TR06, Erciyes University, Engineering Faculty, Computer, Engineering Department Turkey, 2005.
45. D. Karaboga, B. Gorkemli, C. Ozturk, and N. Karaboga, "A comprehensive survey: artificial bee colony (ABC) algorithm and applications," Springer Link Artif. Intell. Rev., 2012.
46. E. Bonabeau, M. Dorigo, G. Theraulaz, "Swarm Intelligence: From Natural to Artificial Systems," New York, NY: Oxford University Press, 1999.
47. B. Basturk, D. Karaboga, "A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm", J Glob optim 39: 459-471 Springer, 2007.
48. W. Stach, L. Kurgan, W. Pedrycz, and M. Reformat, "Learning fuzzy cognitive maps with required precision using genetic algorithm approach," Electron. Lett., vol. 40, no. 24, pp. 1519-1520, 2004.
49. C. Lopez, J. L. Salmeron, S. Lozano, "Software Maintenance Scenarios Simulation with Fuzzy Cognitive Maps," IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 1810-1814, 2011.
50. D. Karaboga, and B. Basturk, "On The Performance Of Artificial Bee Colony (ABC) Algorithm," Applied Soft Computing, Volume 8, Issue 1, pp. 687-697, 2008.
51. 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. Ed. Elpiniki Papageorgiou. Vol. Intelligent Systems Reference Library. Springer, 2013, In Press.