A hybrid intelligent system for multiobjective decision making problems

Computers and Industrial Engineering

Volumn 51, Issue 1, 2006, Pages 26-43

  Gholamian, M R ^a   Fatemi Ghomi, S M T ^b   Ghazanfari, M ^a  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

^b AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Fuzzy rule based systems; Multiobjective decision making; Neural networks; Systems planning and design

Indexed keywords

CONFORMAL MAPPING; CONSTRAINT THEORY; DECISION MAKING; FUZZY SETS; NEURAL NETWORKS; PROBLEM SOLVING;

FUZZY RULE-BASED SYSTEMS; MULTIOBJECTIVE DECISION MAKING; MULTIOBJECTIVE PROBLEMS; SYSTEMS PLANNING;

RANDOM PROCESSES;

EID: 33749080716     PISSN: 03608352     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cie.2006.06.011     Document Type: Article

References (40)

1. Agrell P.J., Stam A., and Fischer G.W. Interactive multiobjective agro-ecological land use planning: the Bungoma region in Kenya. European Journal of Operational Research 158 1 (2004) 194-217
2. Balicki J., Kitowski Z., and Stateczny A. Extended Hopfield models of neural networks for combinatorial multiobjective optimization problems. IEEE International Joint Conference on Neural Networks 2 (1998) 1646-1651
3. Beşdok E. A new method for impulsive noise suppression from highly distorted images by using ANFIS. Engineering Applications of Artificial Intelligence 17 (2004) 519-527
4. Carlsson C., and Fuller R. Multiobjective linguistic optimization. Fuzzy Sets and Systems 115 (2000) 5-10
5. Cheng C.B., Cheng C.J., and Lee E.S. Neuro-fuzzy and genetic algorithm in multiple response optimization. Computers and Mathematics with Applications 44 12 (2002) 1503-1514
6. Coello C., Van Veldhuizen D.A., and Lamont G.B. Evolutionary algorithms for solving multi-objective problems (2002), Kluwer, New York
7. Coelho, R. F., & Bouillard, P. (2004). PAMUC II for multicriteria optimization of mechanical designs with expert rules. In Proceedings of the congress on evolutionary computation (CEC2004) (Vol. 1, pp. 17-22). Portland.
8. Cohon J.L. Multiobjective programming and planning (1987), Academic Press, New York
9. Durkin J., and Durkin J. Expert systems: design and development (1998), Prentice-Hall, New Jersey
10. Frank T., Kraiss K.F., and Kuhlen T. Comparative analysis of Fuzzy ART and ART-2A network clustering performance. IEEE Transactions on Neural Networks 9 3 (1998) 544-559
11. Gen M., Ida K., and Kobuchi R. Neural network techniques for fuzzy multiobjective linear programming. Computers and Industrial Engineering. 35 2-3 (1998) 543-546
12. Ghazanfari M., and Kazemi Z. The principle of expert systems (2003), IUST Publisher, Tehran in Persian
13. Gholamian, M. R., & Fatemi Ghomi, S. M. T. (2004). A hybrid intelligent system for multiobjective decision making problem. In Proceedings of the 33rd international conference on computers and industrial engineering. Jeju, Korea.
14. Gholamian M.R., and Fatemi Ghomi S.M.T. An empirical research in intelligent manufacturing: a frame based representation of AI usages in manufacturing aspects. IFIP International Federation for Information Processing 159 (2005) 161-172
15. Gholamian M.R., Fatemi Ghomi S.M.T., and Ghazanfari M. A hybrid system for multiobjective marketing problems: a case study in crude oil markets. Engineering Applications of Artificial Intelligence 18 4 (2005) 495-509
16. Gholamian M.R., Fatemi Ghomi S.M.T., and Ghazanfari M. A hybrid computational intelligent system for multiobjective supplier selection problem. International Journal of Management and Decision Making 7 2-3 (2006) 216-233
17. Hwang C.L., and Yoon K. Multiple objective decision-making methods and applications: a state of the art survey (1981), Springer Verlag, Berlin
18. Jang J.-S.R., and Sun C.-T. Neuro-fuzzy modeling and control. Proceedings of the IEEE 83 (1995) 378-406
19. Jang J.-S.R., and Sun C.-T. Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence (1997), Prentice-Hall, New Jersey
20. Jaszkiewicz A. On the computational efficiency of multiple objective Meta-heuristics: the knapsack problem case study. European Journal of Operational Research 158 2 (2004) 418-433
21. Jones D.F., Mirrazavi S.K., and Tamiz M. Multi-objective meta-heuristics: an overview of the current state-of-the-art. European Journal of Operational Research 137 (2002) 1-9
22. Jwo W.S., Liu C.W., Liu C.C., and Hsiao Y.T. Hybrid expert system and simulated annealing approach to optimal reactive power planning. IEE Proceedings Generation, Transmission and Distribution 142 4 (1995) 381-385
23. Liong S.Y., Khu S.T., and Chan W.T. Derivation of Pareto front with genetic algorithm and neural network. Journal of Hydrologic Engineering 6 1 (2001) 52-61
24. Luger G. Artificial intelligence: structures and strategies for complex problem solving. 4th ed. (2002), Addison Wesley, New York
25. McMullen P.R. A Kohonen self-organizing map approach to addressing a multiobjective mixed-model JIT sequencing problem. International Journal of Production Economics 72 (2001) 59-71
26. Nabrzyski, J. & Weglarz, J. (1997). On an expert system with multicriteria tabu search for multiobjective project scheduling. In Proceedings of the 6th international conference on emerging technologies and factory automation (pp. 287-291).
27. Poulos P.N., Rigatos G.G., Tzafestas S.G., and Koukos A.K. A Pareto optimal genetic algorithm for warehouse multi-objective optimization. Engineering Applications of Artificial Intelligence 14 (2001) 737-749
28. Rasmy M.H., Lee S.M., Abd El-Wahed W.F., Ragab A.M., and El-Sherbiny M.M. An expert system for multiobjective decision making: application of fuzzy linguistic preferences and goal programming. Fuzzy Sets and Systems 127 (2002) 209-220
29. 2 on the Internet. Computers and Chemical Engineering 28 5 (2004) 821-828
30. Smith, K., & Gupta, J. D. (1998). Interacting feedforward and feedback neural networks for optimization. In Proceedings of the IEEE International Conference (pp. 69-74).
31. Srinivas N., and Deb K. Multiobjective optimization using non-dominated sorting in genetic algorithms. Evolutionary Computation 2 3 (1994) 221-248
32. Steuer P.E. Multiple criteria optimization: theory, computation and application (1986), John Wiley, New York
33. Sun M., Stam A., and Steuer R.E. Interactive multiple objective programming using Tchebycheff programs and artificial neural networks. Computers and Operations Research 27 7-8 (2000) 601-620
34. Turban E., Aronson J.E., and Liang T.P. Decision support systems and intelligent systems. 7th ed. (2004), Prentice Hall, New Jersey
35. Van Veldhauizen D., and Lamont G.B. Multiobjective evolutionary algorithms: analyzing the state-of-the-art. Evolutionary Computation 8 2 (2000) 125-147
36. Wang L.X. A course of fuzzy systems and control (1997), Prentice Hall, New Jersey
37. Yager R.R., and Zadeh L.A. Fuzzy sets, neural networks and soft computing (1994), Van Nostrand Reinhold, New York
38. Zeleny M. Multiple criteria decision making: Eight concepts of optimality. Human Systems Management 17 (1998) 97-107
39. Zimmmermann H.J. Fuzzy set theory and its applications. 3rd ed. (1996), Kluwer, Boston
40. Zitzler E., Thiele L., Laumanns M., Fonseca C.M., da, and Fonseca V.G. Performance assessment of multiobjective optimizers: An analysis and review. IEEE Transactions on Evolutionary Computation 7 2 (2003) 117-132