A Novel Multi-Objective Bi-Level Programming Problem Under Intuitionistic Fuzzy Environment and Its Application in Production Planning Problem

EasyChair Preprint 5218

Abstract

This paper presents an optimization method to solve a multi-objective model of a Bi-level linear programming problem with intuitionistic fuzzy coefficients. The idea is based on TOPSIS (technique for order preference by similarity to ideal solution) method. TOPSIS method is a multiple-criteria method that identifies a satisfactory solution from a given set of alternatives on the basis of minimization of distance from an ideal point and maximization of distance from nadir point simultaneously. A new model of multi-objective bi-level programming problem in the intuitionistic fuzzy environment has been considered. The problem is first reduced to a conventional multi-objective bi-level linear programming problem by using accuracy function and then modified TOPSIS method is proposed to solve the problem at both the leader and the follower level where various linear/non-linear membership functions are used to represent the flexibility in the approach of decision-makers. The problem is solved in a hierarchical manner, i.e. first the problem at the leader level is solved and then the feasible region is extended by relaxing the decision variables controlled by the leader. The feasible region is extended so as to obtain a satisfactory solution for the decision-makers at both levels. Finally, the application of the proposed approach in the production planning of a company has been presented. An illustrative numerical example is also given to illustrate the methodology of the approach defined in this paper.

Keyphrases: Bi-level programming problem, Fuzzy Optimization., Intuitionistic fuzzy number, Multi-objective optimization problem, TOPSIS

@booklet{EasyChair:5218,
  author    = {Kirti Sharma and Vishnu Singh and Debjani Chakraborty},
  title     = {A Novel Multi-Objective Bi-Level Programming Problem Under Intuitionistic Fuzzy Environment and Its Application in Production Planning Problem},
  howpublished = {EasyChair Preprint 5218},
  year      = {EasyChair, 2021}}