Robust Soft Optimization in Fuzzy Linear Programming Problems
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About: This article is published in Journal of Japan Society for Fuzzy Theory and Systems. The article was published on 01 Jan 1996. and is currently open access.
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Citations
Possibilistic linear programming: a brief review of fuzzy mathematical programming and a comparison with stochastic programming in portfolio selection problem
TL;DR: Some fuzzy linear programming methods and techniques from a practical point of view are reviewed and some newly developed ideas and techniques in fuzzy mathematical programming are briey reviewed.
791
References
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Possibility Theory: An Approach to Computerized Processing of Uncertainty
Didier Dubois,Henri Prade +1 more
- 01 Jan 1988
TL;DR: This chapter discusses the use of Fuzzy Sets for the Evaluation and Ranking of Objects, a Quantitative Approach to Multiaspect Choice, and some of the techniques used in this approach.
2.4K
Possibility theory: An approach to computerized processing of uncertainty
TL;DR: This reviewer placed herself in the position of a librarian who needed to learn about AACRZ in detail so that this review could be done from the standpoint of the purpose of these volumes, i.e., to help librarians or others learn AACR2 rule application through close examination of actual examples applying specific rules, cataloging rule interpretations, and such for descriptive cataloging.
2.4K
Description and optimization of fuzzy systems
TL;DR: Fuzzy set theory is applied to fuzzy linear programming problems and it is shown how fuzzylinear programming problems can be solved without increasing the computational effort.
930
•Book
Fuzzy Sets and Interactive Multiobjective Optimization
Masatoshi Sakawa
- 28 Feb 1993
TL;DR: This monograph is the first to integrate ambiguous parameters in problem-formulation with fuzzy goals for multiobjective optimization into a unified methodology.
901
•Proceedings Article
Possibility theory as a basis for qualitative decision theory
Didier Dubois,Henri Prade +1 more
- 20 Aug 1995
TL;DR: A counterpart to von Neumann and Morgenstern' expected utility theory is proposed in the framework of possibility theory, representing a preference ordering among possibility distributions that satisfies a series of axioms pertaining to decision-maker's behavior.