摘要: Abstract Fuzzy Stochastic Optimisation is emerging as a subfield of Mathematical programming, the disciplinary matrix which consists analysis mathematical programs under fuzziness and randomness along with methods for solving them. The “primum movens” this paper to describe unifying methodological approach, that suitable finding satisfying solution program in presence fuzzy data random variables. Properties variables (FRVs) serve backdrop approach also lends itself better handling coefficients. For be somewhat self-contained, notion FRV briefly discussed synopsis provided. A systematically solved example aimed at illustrating proposed included.
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