Abstract

While solving real-life linear programming problems, there may exist the situation of uncertainty and hesitancy due to several factors. To deal with such situations, intuitionistic fuzzy data representation is widely used. Many authors have investigated and proposed methods to find the solution of intuitionistic fuzzy linear programming (IFLP) problems in the last decade. In this paper, the limitations of the existing methods are pointed out and new methods (named as Mehar methods) are proposed to overcome these limitations. Further, the proposed method is illustrated with an example.

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