[PDF] Top 20 A Solution of Fuzzy Trilevel Quadratic Fractional Programming Problem through Interactive Fuzzy Goal Programming Approach
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A Solution of Fuzzy Trilevel Quadratic Fractional Programming Problem through Interactive Fuzzy Goal Programming Approach
... In Trilevel multiobjective problems, if an imprecise aspiration level is assigned to each of the objectives in each level of Trilevel tri- objective quadratic fractional programming ... See full document
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A Solution of Fuzzy Multilevel Quadratic Fractional Programming Problem through Interactive Fuzzy Goal Programming Approach
... the fuzzy multilevel quadratic fractional programming problem through fuzzy goal programming ...A fuzzy multilevel quadratic fractional ... See full document
15
Enhancement fuzzy goal programming approach for multi item/ multi supplier selection problem ina fuzzy environment
... the fuzzy numbers, an interactive fuzzy goal programming approach is applied to obtain the - best compromise ...The solution procedure controls the search direction via ... See full document
10
FGP approach to multi objective quadratic fractional programming problem
... presented fuzzy goal pro- gramming (FGP) algorithm for solving decen- tralised bi-level multi objective (DBL-MOP) problems with a single decision maker at the up- per level and multiple decision makers at ... See full document
9
Goal Programming for Solving Fractional Programming Problem in Fuzzy Environment
... linear programming problem in fuzzy environment in which some goals are fractional and some are ...new approach for its solution by using α-cut of fuzzy ...satisfactory ... See full document
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Tabu Search Based Interactive Fuzzy Stochastic Multi Level 0 1 Programming
... final solution to an undesirable one because of inconsistency between the fuzzy goals of the objective function and those of the decision ...the problem in their methods, by eliminating the ... See full document
8
Chance Constrained Multi-Objective Linear Plus Linear Fractional Programming Problem Based on Taylor’s Series Approximation
... linear fractional programming problem (MOLFPP) with system constraints is a prominent tool for solving many practical decision making ...linear fractional functions and the problem is ... See full document
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Fuzzy Goal Programming Procedure to Bilevel Multiobjective Linear Fractional Programming Problems
... FP approach of Shih et ...the solution again and again by the FLDM and reevaluation of the problem is repeatedly needed to reach the satisfactory decision, where the objectives of the DMs are ...the ... See full document
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TOPSIS APPROACH TO CHANCE CONSTRAINED MULTI - OBJECTIVE MULTI- LEVEL QUADRATIC PROGRAMMING PROBLEM
... TOPSIS approach to solve chance constrained multi – objective multi – level quadratic programming ...proposed approach actually combines TOPSIS and fuzzy goal ...TOPSIS ... See full document
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A Taylor Series based Fuzzy Mathematical Approach for Multi Objective Linear Fractional Programming Problem with Fuzzy Parameters
... MOFLFP problem was converted into MOLFP with interval parameters and then into ...linear programming (LP) problem with interval ...optimal solution was obtained based on their ...this ... See full document
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On solving fully fuzzy multi-criteria De Novo programming via fuzzy goal programming approach
... known. Fuzzy numerical data can be represented by means of fuzzy subsets of the real line, known as fuzzy numbers ...[6]. Fuzzy linear constraints with fuzzy numbers were studied by ... See full document
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Linear fractional programming for fuzzy random based possibilistic programming problem
... mathematical programming models is crucial to obtain the feasible and proper ...mathematical programming model which treats fuzzy random data, and further treats ambiguity and fuzziness in the ... See full document
6
Fuzzy Goal Programming to Optimization the Multi-Objective Problem
... optimization problem usually has a set of Pareto-optimal solutions, instead of one single optimal solution ...the goal is to find as many different Pareto-optimal (or near Pareto-optimal) solutions ... See full document
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A Modified Interactive Stability Algorithm for Solving Multi Objective NLP Problems with Fuzzy Parameters in Its Objective Functions
... an interactive compromise programming algorithm to obtain the optimal stable solution of multi-objective nonlinear programming problems with fuzzy parameters in the objective func- ... See full document
9
Multi Objective Chance Constrained Capacitated Transportation Problem based on Fuzzy Goal Programming
... Keywords Fuzzy Goal Programming, Chance Constrained Programming, Transportation Problem, Capacitated Transportation Problem, Randomness, Membership function, Multi objective decision mak[r] ... See full document
5
A New Approach To Solve Fuzzy Fractional Assignment Problem By Using Taylor’s Series Method
... objective fractional programming by Taylor series approach and fuzzy compromise ...linear fractional transporation problem in which each objective function is expanded about ... See full document
9
Competitive Facilities Location Problems with Fuzzy Random Demand
... location problem with fuzziness in a noncompetitive ...the fuzzy random variable representing both fuzziness and ...of fuzzy random variable, the reader can re- fer to the book of Kruse and Meyer ... See full document
6
On Fuzzy Random Valued Optimization
... regression problem in the presence of both random and fuzzy variables [1]; Renewal processes where inter-arri- val times are only known as subjective categories of the form; almost 3 hours, around 2 hours, ... See full document
9
Study on Fuzzy Quadratic Programming Problems
... of fuzzy programming have been yielded[2,3,4,5,6] ...particular, fuzzy programming, whose objective functions are fuzzy quadratic and constraint conditions are fuzzy ... See full document
6
On solutions of fuzzy multi-objective programming problems through weighted coefficients in two-Phase approach
... considered problem into the parametrically interval-valued MOLP ...a solution procedure to cope with interval-valued linear programming problems to obtain an interval-valued optimal ...a ... See full document
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