[PDF] Top 20 A Taylor Series based Fuzzy Mathematical Approach for Multi Objective Linear Fractional Programming Problem with Fuzzy Parameters

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

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

... to fractional linear programming in many real-world problems such as production and financial planning and institutional planning and return on investment, and ...others. Multi ... 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

... classical mathematical programming problem is used to find an optimal solution for single objective function whereas many problems in real world may involve multiple objectives with ... See full document

... usually based on intuition and experience; it makes the problem more complicated to express parameter’s value in the mathematical ...developed mathematical model retain the uncertainty in ... See full document

... for multi-objective linear fractional programming ...the fractional objective functions and Zimmermann approach is applied to find the fuzzy efficient of ... See full document

... paper, multi- level multi-objective linear plus linear fractional programming problem is ...The objective functions of level decision makers are ... See full document

... one objective function in every level, it is appropriate to use an approach or algorithm for obtaining a satisfactory solution to such model, many researches utilized the Interactive approach as ... See full document

... LFP problem with interval coefficients in objective function which is based on Charnes and Cooper technique (2012) solved the LFP problem by algebraic approach which depends on the ... See full document

... intuitionistic fuzzy multi-objective non- linear programming problem (IFMONLPP) using a Taylor ...proposed approach, membership and non-membership functions ... See full document

... present fuzzy goal programming approach to solve chance constrained multi-objective linear plus linear fractional programming problem based on ... See full document

... for multi objective opti- mization problems have been suggested in the lit- ...for fuzzy mathematical programming problem using goal programming approach like Pal ... See full document

... effective fuzzy approach by using the concept of tolerance membership functions of fuzzy set theory [3] for solving MLPPs in ...compensatory fuzzy operator for obtaining satisfactory solution ... See full document

... graphical approach. Mukherjee and Basu [11] resolved an assignment problem with fuzzy cost by Yager’s ranking method [12] which transforms the fuzzy assignment problem into a crisp ... See full document

... In this paper, the simplex method portrayed by pentagon fuzzy numbers, numerical example shows that by this method. We can have the optimal solution as well s crisp and Fuzzy Optimal total cost. Thus it can ... See full document

... of fuzzy sets required for the ...priority based fuzzy goal programming with generalized trapezoidal fuzzy ...of multi-objective assignment problem has been ...of ... See full document

... a Multi-criteria De Novo Linear Programming (F- MDNLP) problem has been developed under consideration of the ambiguity of ...These fuzzy parameters are characterized by ... See full document

... each case. The quality of the job (case), i.e. the satisfaction of the customer or the job performance of the worker (consultant) doing that case, may assume to be positively correlated to the input time (cost) of the ... See full document

... in multi-objective structural optimization with uncertain ...generating problem .Structural optimization with fuzzy parameters was developed by Yeh ...for fuzzy optimization of ... See full document