[PDF] Top 20 A Fuzzy Programming Approach to Multi-objective Mean Variance Model

... of fuzzy set theory in order to formulate the models of portfolio ...by fuzzy set theory, but also help decision maker to take flexible decision by considering the investors’ ... See full document

... Expected return and risk are two fundamental factors in portfolio selection, and thus have been used as the most common two objectives in the literature. However, return and risk cannot provide all relevant information ... See full document

... hybrid model for supplier selection integrated factor analysis is introduced by He and Zhang, ...hesitant fuzzy sets, Zhou et al. 2018 investigated a preference model to select the ...linear ... See full document

... paper Fuzzy linear programming with several objective functions has been published by Zimmermann ...studied multi- objective intuitionistic fuzzy linear programming ... See full document

... Multi objective quadratic fractional programming (MOQFP) problem involves optimization of several objective functions in the form of a ratio of numerator and denominator functions which ... See full document

... the fuzzy set theory was introduced by Zadeh [20] to deal with ...the fuzzy set theory has been applied to broad fields. Fuzzy set theory has to be set up using data which is approximately ...known. ... See full document

... Multi objective programming in crisp and fuzzy environment have been well developed in order to deal realistic ...problems. Multi-objective programming in intuitionistic ... See full document

... present fuzzy goal programming approach to solve chance constrained multi-objective linear plus linear fractional programming problem based on first order Taylor’s series ...the ... See full document

... Intuitionistic fuzzy set (IFS) which is one of the generalizations of fuzzy set theory characterized by a membership function, a non-membership function and a hesitancy ...In fuzzy sets the degree of ... See full document

... studied multi-objective transportation model with normal trapezoidal fuzzy numbers based on priority based fuzzy goal ...based fuzzy goal programming method for ... See full document

... alternative fuzzy programming model to solve MOFLFP ...proposed approach, the membership functions are converted into linear form using first order Taylor polynomial series ...Each ... See full document

... single objective fractional programming problems and then solved employing the well known available techniques of single objective programming ...of fuzzy sets has been introduced in ... See full document

... this approach, each MVC model is first defined by a mathematical ...that model is presented based on ACO procedure, in which the pseudo code is transformed into ACO algorithm to solve the ...MVC ... See full document

... of multi- objective ...on fuzzy programming for solving multi-objective linear bi-level multi-follower programming problem in which there is no sharing of ... See full document

... The objective of the present study is to develop the irrigation planning model and to apply the same in the form of Two- Phase Multi Objective Fuzzy Linear Programming (TPMOFLP) ... See full document

... linear programming model for two-stage production planning systems to minimize costs and instability in workforce and inventory ...hybrid fuzzy multi-objective programming ... See full document

... above fuzzy numbers are assumed to triangular fuzzy numbers parameterized by a triplet expressed in the form (a 1 , a 2 , a 3 ) where a 1 and a 3 are the lower and upper limits of a fuzzy number and ... See full document

... linear programming for a multi-commodity capacitated single-period version of intermediate distribution facilities location and presented a new solution technique based on Benders Decomposition and examined ... See full document

... The objective of this paper is to develop the irrigation planning model and to apply the same in the form of Multi Objective Fuzzy Linear Programming (MOFLP) approach for ... See full document

... The determination of a desirable achievement degree for a goal could be a difficult task for a decision making in a fuzzy environment when using method by (22). For assessing desirable achievement degrees ... See full document