Interval type-2 fuzzy logic and its application to profit maximization solid transportation problem in mustard oil industry

Abstract

In this paper, a new design of interval type-2 fuzzy logic systems (IT2FLS) for a profit maximization solid transportation problem is presented. It has been proposed that the antecedent membership function parameters of the IT2FLS are produced randomly with the consequent part parameters being determined practically by the mustard oil producing factory in India. The application of mustered oil factory data sets has been used in order to exhibit the effectiveness of the proposed design of IT2FLS.The unit Transportation cost is determined by using IT2FLS, three inputs- supplies, demands and road conditions and one output parameter. A profit solid transportation problem is then formulated with volume and capacity constraints of oil packets and Generalized Reduced Gradient Technique (LINGO-12.0) is used to solve the proposed model. Lastly the optimal results are presented in tabular form and graphically.