A New Approach on Solving Intuitionistic Fuzzy Nonlinear Programming Problem

C. Loganathan¹ , M. Lalitha²

1. Dept. of Mathematics, Maharaja Arts and Science College, Coimbatore, India.
2. Dept. of Mathematics, Kongu Arts and Science College, Erode, India.

Correspondence should be addressed to: lali_math@rediffmail.com.

Section:Research Paper, Product Type: Isroset-Journal
Vol.5 , Issue.5 , pp.5-9, Oct-2017

CrossRef-DOI:   https://doi.org/10.26438/ijsrcse/v5i5.59

Online published on Oct 30, 2017

Copyright © C. Loganathan, M. Lalitha . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
In this paper we propose an algorithm for solving Intuitionistic fuzzy nonlinear programming problems (IFNLPP) involving triangular Intuitionistic fuzzy numbers (TIFN). Here, the multi-objective nonlinear problem is converted into a single objective nonlinear programming problem and the problem is defuzzified by using triangular Intuitionistic fuzzy numbers. Then the problem is converted into crisp nonlinear programming problem. Numerical examples are provided to show the efficiency of the proposed algorithm.

Key-Words / Index Term :
Intuitionistic fuzzy set, Triangular Intuitionistic fuzzy numbers, membership and non-membership value, Ambiguity and score value

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