Developing a diagnostic system through integration of fuzzy case-based reasoning and fuzzy ant colony system

Expert Systems with Applications

Volumn 28, Issue 4, 2005, Pages 783-797

  Kuo, R J ^a   Kuo, Y P ^a   Chen, Kai Ying ^a  

^a NATIONAL TAIPEI UNIVERSITY OF TECHNOLOGY   (Taiwan)

Author keywords

Ant colony optimization; Case based reasoning; Clustering analysis; Fuzzy sets theory

Indexed keywords

ALGORITHMS; FUZZY CONTROL; FUZZY SETS; INFORMATION ANALYSIS; INFORMATION MANAGEMENT; KNOWLEDGE REPRESENTATION; OPTIMIZATION;

ANT COLONY OPTIMIZATION; CASE-BASED REASONING (CBR); CLUSTERING ANALYSIS; FUZZY SETS THEORY;

PROGRAM DIAGNOSTICS;

EID: 17844398750     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2004.12.034     Document Type: Article

References (21)

1. A. Aamodt, and E. Plaza Case-based reasoning: Fundamental issues, methodological variations, and system approaches AI Communications. IOS Press 7 1 1994 39 59
2. Berkhin, P. (2002). Survey of clustering data mining techniques. Accrue Software Inc. http://www.accrue.com/products/researchpapers.html.
3. Chan, C. L. (2003). Integration of ant algorithm and case-based reasoning for knowledge management. Degree of Master in Taipei University of Technology.
4. G.D. Caro, and M. Dorigo AntNet: Distributed stigmergetic control for communication networks Journal of Artificial Intelligence Research 9 1998 317 365
5. G.D. Caro, and M. Dorigo Mobile agents for adaptive routing Proceedings of the 31th Hawaii International Conference on System 1998 IEEE Computer Society Press Los Alamitos, CA pp. 74-83
6. Chou, S.H. (2003). Application of ant system on clustering analysis in data mining. Degree of Master in Taipei University of Technology.
7. M. Dorigo, V. Maniezzo, and A. Colorni The ant system: Optimization by a colony of cooperating agents IEEE Transactions on Systems, Man, and Cybernetics - Part B 26 1 1996 1 13
8. G. Dvir, G. Langholz, and M. Schneider Matching attributes in a fuzzy case based reasoning Fuzzy Information Processing Society 1999 33 36
9. Hirota, K., Yoshino, H., Xu, M. Q., Zhu, Y., Li, X. Y., & Horie, D. (1998). A fuzzy case based reasoning system for the legal inference. Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence, The 1998 IEEE International Conference (Vol. 2) (pp. 1350-1354).
10. Z. Liang, and P. Shi Similarity measures on intuitionistic fuzzy sets Pattern Recognition Letters 24 2003 2687 2693
11. C.K. Riesbeck, and R.C. Schank Inside case-based reasoning 1989 Erlbaum Northvale, NJ
12. Kuo, R. J., Chi, S. S., & Teng, P. W. (2001). Generalized part family formation through fuzzy self-organizing feature map neural network. Computers in Industrial Engineering, 40 (1), 79-100.
13. Kuo, R. J., Su, Y. J., Chiu, C. Y., & Tien, F. C. (2005). Integration of ARTz and fuzzy sets theory for grouping parts. Decision Support Systems (to appear).
14. Kuo, R. J., Wang, H. S., Hu, T.-L., & Chou, S. H. (2004). Application of ant colony system for clustering analysis. Proceedings of the 9th Annual International Conference on Industrial Engineering Theory, Applications and Practice, pp. 55-59. Auckland, New Zealand, November, 27-30.
15. R. Schank Dynamic memory: A theory of learning in computer and people 1982 Cambridge University Press
16. R. Schank R. Abelson Scripts, plans, goal and understanding 1977 Erlbaum Hillsdale, NJ
17. C. Vasudaven, S.M. Smith, and K. Ganesan Fuzzy logic in case-based reasoning The Industrial Fuzzy Control and Intelligent Systems Conference, and the NASA Joint Technology Dec 1994 18 21
18. W.J. Wang New similarity measures on fuzzy sets and on elements Fuzzy Sets and Systems 85 1997 305 309
19. L. Watson Applying case-based reasoning: Techniques for enterprise systems 1997 Morgan Kaufmann San Francisco
20. L.A. Zadeh Fuzzy sets Information and Control 8 1965 338 353
21. R. Zwick, E. Carlstein, and D.V. Budescu Measures of similarity among fuzzy concepts: A comparative analysis International Journal of Approximate Reasoning 1 1987 221 242