Towards a new strategy for solving fuzzy optimization problems

Fuzzy Optimization and Decision Making

Volumn 8, Issue 3, 2009, Pages 231-244

  Cadenas, J M ^a   Verdegay, J L ^b  

^a UNIVERSITY OF MURCIA   (Spain)

^b UNIVERSITY OF GRANADA   (Spain)

Author keywords

Data mining; Fuzzy linear programming; Fuzzy optimization; Heuristics algorithms; Soft computing

Indexed keywords

COMPLEX OPTIMIZATION; EFFECTIVE SOLUTION; FUZZY COEFFICIENTS; FUZZY COST; FUZZY LINEAR PROGRAMMING; FUZZY OPTIMIZATION; FUZZY OPTIMIZATION MODEL; FUZZY RULE BASED; FUZZY SETS AND SYSTEMS; FUZZY-CONSTRAINT; HEURISTICS ALGORITHMS; LINEAR PROGRAMMING PROBLEM; MATRIX; META HEURISTICS; NEW STRATEGY; OPTIMIZATION METHOD; PRACTICAL REALIZATIONS;

COMPUTATION THEORY; COORDINATION REACTIONS; DYNAMIC PROGRAMMING; FUZZY SETS; HEURISTIC METHODS; KNOWLEDGE BASED SYSTEMS; LINEARIZATION; MINING; OPTIMIZATION; SOFT COMPUTING;

LINEAR PROGRAMMING;

EID: 69549116252     PISSN: 15684539     EISSN: 15732908     Source Type: Journal    
DOI: 10.1007/s10700-009-9062-5     Document Type: Article

References (27)

1. R.E. Bellman L.A. Zadeh 1970 Decision making in a fuzzy environment Management Science, 17 B(4 141 164
2. Berthold M., Hand D.J. (2003) Intelligent data analysis: an introduction. Springer, New York
3. A. Blanco D. Pelta J.L. Verdegay 2002 A fuzzy valuation-based local search framework for combinatorial problems Fuzzy Optimization and Decision Making 1 177 193
4. Bonissone, P. P., Cadenas, J. M., Garrido, M. C., & H ernandez, J. J. (2007). Minería de datos en el modelado de un sistema metaheurístico cooperativo: Una comparativa. V Congreso Español sobre Metaheursticas, Algoritmos Evolutivos y Bioinspirados, MAEB'2007, pp. 1-8.
5. J.M. Cadenas J.L. Verdegay 1997 Using fuzzy numbers in linear programming IEEE Transactions on Systems, Man, and Cybernetic 27(B) 6 1017 1022
6. Cadenas, J. M., Garrido, M. C., Hernandez, L. D., & Muñoz, E. (2006). Towards the definition of a data mining process based in fuzzy sets for cooperative metaheuristic systems. 11th International Conference on Information Processing and Management of Uncertainty in Knowledgebased Systems, IPMU'2006, pp. 2828-2834.
7. Cadenas, J. M., Garrido, M. C., & Muñoz, E. (2007). A cooperative systems of metaheuristics. 7th International Conference on Hybrid Intelligent Systems, HIS 2007, pp. 120-125.
8. L. Campos J.L. Verdegay 1989 Linear programming problems and ranking of fyzzy numbers Fuzzy Sets and Systems 32 1 11
9. M. Delgado J.L. Verdegay M.A. Vila 1987 Imprecise costs in mathematical programming problems Control and Cybernet 16 2 113 121
10. M. Delgado J.L. Verdegay M.A. Vila 1989 A general model for fuzzy linear programming Fuzzy Sets and Systems 29 21 29
11. D. Dubois H. Prade 1983 Ranking of fuzzy numbers in the setting of possibility theory Information Science 30 183 244
12. Fedrizzi M., Kacprzyk J., Verdegay J.L. (1991) A survey of fuzzy optimization and fuzzy mathematical programming. In: Fedrizzi M., Kacprzyk J., Roubens M. (eds) Interactive fuzzy optimization. Springer Verlag, Berlin, pp 15-28
13. H. Ishibuchi H. Tanaka 1990 Multiobjective programming in optimization of the interval objective function European Journal of Operational Research 48 219 225
14. D. Pisinger 2005 Where are the hard knapsack problems? Computer and Operations Research 32 9 2271 2284
15. H. Rommelfanger R. Hanuscheck J. Wolf 1990 Linear programming with fuzzy objectives Fuzzy Sets and Systems 29 31 48
16. A. Sancho-Royo J.L. Verdegay E. Vergara 1999 Some practical problems in fuzzy sets-based DSS MathWare and Soft Computing 2-3 173 187
17. H. Tanaka T. Okuda K. Asai 1974 On fuzzy mathematical programming Journal of Cybernetics 3 4 37 46
18. H. Tanaka H. Ichihashi F. Asai 1984 A formulation of fuzzy linear programming problems based a comparison of fuzzy numbers Control and Cybernet 13 185 194
19. Verdegay, J. L. (1982). Fuzzy mathematical programming. In M. M. Gupta & E. Sanchez (Eds.), Fuzzy information and decision processes (pp. 231-237). North Holland: Elsevier Science.
20. J.L. Verdegay E. Vergara 2000 Fuzzy termination criteria in knapsack problem algorithms Mathware and Soft Computing 2-3 89 97
21. J.L. Verdegay E. Vergara 2002 Fuzzy sets-based control rules for terminating algorithms Computer Science Journal 10 1 9 27
22. J.L. Verdegay R.R. Yager P.P. Bonissone 2008 On heuristics as a fundamental constituent of soft computing Fuzy Sets and Systems 159 846 855
23. Zadeh, L. A. (1975). The concept of a linguistic variable and its applications to approximate reasoning. Part I, Information sciences, 8, 199-249
24. Part II, Information sciences, 8, 301-357
25. Part III, Information sciences, 9, 43-80
26. H.J. Zimmermann 1976 Description and optimization of fuzzy systems International Journal of General Systems 2 209 215
27. Zimmermann H.J. (1987) Fuzzy sets, decision making, and expert systems. Kluwer Academic Publishers, Boston