[PDF] Top 20 Multiobjective Fuzzy Random Linear Programming Problems Based on Coefficients of Variation

... the random variable coefficients of fuzzy random variables is ...the random variable coefficients of fuzzy random variables is considered in the formulation processes of MOFRLP, ... See full document

... considered linear optimization (linear programming) problems with discrete fuzzy random ...in fuzzy stochastic environments, we have proposed new models based on ... See full document

... In multiobjective stochastic programming problems, it is implicitly assumed that uncertain parameters or co- efficients can be expressed as random variables in prob- ability ...of random ... See full document

... usually based on intuition and experience; it makes the problem more complicated to express parameter’s value in the mathematical ...the random and fuzzy information respectively. Fuzzy sets ... See full document

... hierarchical multiobjective stochastic linear programming problems, and propose an interactive algorithm to obtain a satisfactory solution from among a Pareto optimal solution ...hierarchical ... See full document

... are random variables on (Q, 2° , P ); in which Q = {w1, ...the linear flexible programs and Linear Stochastic Programs (LSPs) (Zimmermann, 1976; Kall, ... See full document

... dom fuzzy version of the interactive decision making meth- ods for fuzzy random multiobjective programming problems [23], ...is based on the convex programming ... See full document

... model based method, although permissible objective levels are improved in comparison with the proposed method, the corresponding probability function values was changed for the ... See full document

... stochastic linear programming is a relevant ...practical problems rang- ing from portfolio selection to water resource management may be cast into this ...for multiobjective stochastic ... See full document

... Ranking fuzzy number is used in decision- making process in an economic ...In fuzzy environment ranking fuzzy numbers is a very important decision making ...of fuzzy set was first proposed by ... See full document

... hierarchical multiobjective linear programming problems where multiple decision makers in a hierarchical organiza- tion have their own multiple objective linear functions together with ... See full document

... of fuzzy approaches are proposed for not only multiobjective stochastic linear program- ming problems, but also multiobjective fuzzy random linear ... See full document

... hierarchical multiobjective linear programming problems where multiple decision makers in a hierarchical organiza- tion have their own multiple objective linear functions together with ... See full document

... programming problems. Tanaka and Asai [10] formulated multiobjective linear programming problems with fuzzy ...of fuzzy parametric programs. Orlovski [7] formulated ... See full document

... A multiobjective problem is a problem where two or more objective functions are to be minimized on an implicitly constrained feasible ...to multiobjective optimization problems, the necessary ... See full document

... knapsack problems that the improvement or disimprovement of the objective func- tion value corresponds with the decrease or increase of the degree of ...sack problems exists in the area near the boundary of ... See full document

... condition based on the simplification operations is presented to realize the feasibility of the prob- ...the linear objective function considered in section ...test problems for problem ... See full document

... In this paper, following R.B.Dash[13] we reduce Fuzzy MOLPP to crisp MOLPP using Rouben’sRanking function. Then we solve the crisp problem applying exponential membership function. Finally we obtain the membership ... See full document

... FFLP problems is presented. In Section 4, the general form of FFLP problems with equal- ity constraints is ...FFLP problems with equality constraints having arbitraris fuzzy coef- ficients and ... See full document

... multi-objective linear fractional programming problem by expanding the each objective function using first order Taylor’s theorem about the point at which the function attains the maximum ...multi-objective ... See full document