[PDF] Top 20 A Compensatory Fuzzy Approach to Multi-Objective Linear Transportation Problem with Fuzzy Parameters

... the objective function and it could represent transportation cost, delivery time, number of goods transported unfulfilled demand, and many ...on multi-objective transportation problems ... See full document

... Surapati and Roy (2008) presented a priority based fuzzy goal programming approach for solving a multi-objective transportation problem with fuzzy coefficients. Firstly, ... See full document

... To solve Model 2 first we determine x ij r , r − 1, … , k for basic each cell ( j i , ) then, determined c ij r , r − 1, … , k for basic each cell ( j i , ) and for non-basic cell (i,j) (by possible allocation of loop) ... See full document

... two objective functions are, minimized separately with respect to the same set of ...the objective functions are L 1 = 143, L 2 =167 and the upper bounds are U 1 = 208, U 2 = ...following linear ... See full document

... solving fuzzy MOLP problems have been proposed in the literature to deal with decision making situations, which involve fuzzy values in objective functions, parameters, constraints, or ...the ... See full document

... Linear programming is a tool which is used in operation researches, it is important for solving the real life problems through its efficiency and ...the parameters used in optimization models. So the ... See full document

... to fuzzy multi- objective LFP ...the multi-objective fuzzy ...a fuzzy multi-objective linear plus LFP problem and proposed approach ... See full document

... multiple objective problems, that is, multiple objec- tive solid transportation problems ...a fuzzy pro- gramming approach to solve a MOSTP; Ida et ...two-phase fuzzy algorithms to ... See full document

... to fuzzy linear ...a fuzzy approach to multi objective linear programming ...triangular fuzzy numbers for solving fuzzy linear ... See full document

... In the design problem of the structure i.e lightest weight of the structure and minimum deflection of the loaded joint that satisfies all stress constraints in members of the structure .In truss structure ... See full document

... of fuzzy ranking was introduced by Miao-Ling Wang [8] to find the non dominated solution set to FFMOLPP and developed a technique of intra-parametric programming to solve the given ...max-min fuzzy ... See full document

... solve multi objective fractional programming by Taylor series approach and fuzzy compromise ...solve multi objective linear fractional transporation problem in ... See full document

... the fuzzy number is that of gradual membership to a set without sharp boundary in concord with fuzziness of human judgment ([3], [6] and ...bi-level multi-objective fractional integer .programming ... See full document

... three objective functions: minimizing for all the net cost, the net rejected items and the net ...A fuzzy multi-objective model is furnishedin such a way as to consider imprecision of ... See full document

... non linear bi-criterion generalized multi-index transportation problem (BGMTP) is ...generalized transportation problem (GTP) arises in many real-life ...classical ... See full document

... Intuitionistic Fuzzy Sets (IFS), which is a generalization of the concept of fuzzy set ...in fuzzy environments. After the pioneering work on fuzzy linear programming by Tanaka et al ... See full document

... VS problem. They contain many approaches, for example Linear Programming (LP), Mixed Integer Programming (MIP), Goal Programming (GP), and Multiple Objective Programming ...a linear weighting ... See full document

... involve multi-objective and sometimes the decision maker has a fuzzy ...the fuzzy programming methodology to a real life problem of production system chocolate ...this problem ... See full document

... constrained multi-objective transportation problem with fuzzy parameters is ...for transportation. So, fuzzy parameters are used to describe ...solving ... 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 objective ... See full document