期刊
FUZZY SETS AND SYSTEMS
卷 146, 期 2, 页码 187-203出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.fss.2004.01.002
关键词
fuzzy random variable (FRV); mathematical programming; fuzzy number; random variable
Fuzzy Stochastic Optimisation is emerging as a subfield of Mathematical programming, the disciplinary matrix of which consists of analysis of mathematical programs under fuzziness and randomness along with methods for solving them. The primum movens of this paper is to describe a unifying methodological approach, that is suitable for finding a satisfying solution of a mathematical program in the presence of fuzzy data and random variables. Properties of fuzzy random variables (FRVs) serve as the backdrop to this approach which also lends itself better to handling mathematical programs with fuzzy random coefficients. For the paper to be somewhat self-contained, the notion of FRV is briefly discussed and a synopsis of Fuzzy Stochastic Optimisation provided. A systematically solved example aimed at illustrating the proposed approach is also included. (C) 2004 Elsevier B.V. All rights reserved.
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