Nonlinear programming with Trapezoidal intuitionistic fuzzy parameters

Thangaraj Beaula; R. Seetha

doi:10.26637/MJM0804/0129

Abstract

This paper is focused on a new approach for solving nonlinear optimization problems under fuzzy environment. The coefficients of the objective function and constraints are considered to be trapezoidal intuitionistic fuzzy numbers. The fuzzy nonlinear problem is converted into crisp problem, using ranking function and the optimal solution is obtained. An example is illustrated to study the proposed method.

Keywords:

Fuzzy nonlinear programming, Trapezoidal Intuitionistic fuzzy numbers, Ranking function

Mathematics Subject Classification:

Mathematics

Authors Imprint References Funding Related Articles Downloads

Thangaraj Beaula Department of Mathematics, TBML College, Affiliated to Bharathidasan University, Porayar–609307, Tamil Nadu, India.
R. Seetha Department of Mathematics, E. G. S. Pillay Engineering College(Autonomous), Nagapattinam– 611002, Tamil Nadu, India. https://orcid.org/0000-0003-4502-9125

Pages: 2088-2091
Date Published: 01-10-2020
Vol. 8 No. 04 (2020): Malaya Journal of Matematik (MJM)

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