Fuzzy optimality based decision making under imperfect information without utility

Author:

Aliev Rafik A.,Pedrycz Witold,Alizadeh Akif V.,Huseynov Oleg H.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Logic,Software

Reference41 articles.

1. Aliev, R. A., Alizadeh, A. V., Guirimov, B. G., & Huseynov, O. H. (2010). Precisiated information-based approach to decision making with imperfect information. In Proceedings of the ninth international conference on application of fuzzy systems and soft computing, 2010, ICAFS-2010 (pp. 91–103). Prague, Czech Republic.

2. Billot, A. (1995). An existence theorem for fuzzy utility functions: A new elementary proof. Fuzzy Sets and Systems, 74, 271–276.

3. Borisov, A. N., Alekseyev, A. V., Merkuryeva, G. V., Slyadz, N. N., & Gluschkov, V. I. (1989). Fuzzy information processing in decision making systems. Moscow: Radio i Svyaz (in Russian).

4. Enea, M., & Piazza, T. (2004). Project selection by constrained fuzzy AHP. Fuzzy Optimization and Decision Making, 3(1), 39–62.

5. Farina, M., & Amato, P. (2004). A fuzzy definition of ”optimality” for many-criteria optimization problems. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, 34(3), 315–326.

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