A Method Based on Intuitionistic Fuzzy Linear Programming for Investment Strategy
نویسنده
چکیده
This article proposes a new ranking method for ordering Triangular Intuitionistic Fuzzy Number (TIFN) based on area of both membership and nonmembership parts of the number. Firstly, the membership part is split into two regions. Then the area between the midpoints of the centroids of the membership part is calculated to order the TIFN. Later on, the same procedure is adopted to calculate the area of non-membership value also. This ranking procedure is applied to solve Intuitionistic Fuzzy Linear Programming Problem (IFLPP). The IFLPP, in which, the objective function may be maximization or minimization and/or the constraints may be equality or inequality is considered and demonstrated using Intuitionistic Fuzzy Dual Simplex Method. Numerical examples are provided to illustrate our new approach.
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