FGP in multi-objective non-linear fractional optimization model including triangular fuzzy numbers

Abstract

The motivation behind this paper is to propose method to obtain compromized solution of Non-Linear fractional Optimization Model. In this paper, Multi-level multi-objective fully quadratic fractional optimization model (ML-MOFQFOM) is studied in which various objective functions are involved, generally have conflicting nature. FGP approach is being used to solve ML-MOFQFOM involving triangular fuzzy numbers. This paper deals with the ML-MOFQFOM in which fuzzy model converted into deterministic form through the help ofα-cuts whereα is the combined choice of all objective functions. An algorithm and examples are also presented to validate the proposed method.