Interval-Valued Intuitionistic Fuzzy Cognitive Map Based On Llkelihood Concept For Multi-Attribute Decision Making

Abstract

In this paper, Interval Valued Intuitionistic Fuzzy Cognitive Map (IVIFCM) and likelihood concept are combined to produce an integrated algorithm for Multi-attribute decision making (MADM). To know the efficacy of the proposed new formulated algorithm, food farming investment in organic or inorganic agriculture is taken as a multi-attribute problem. The Interval Valued Intuitionistic Fuzzy decision matrix andFuzzy Cognitive Map (FCM)matrix are collected from the expert in the form of linguistic variable. Finally the result of the adopted problem concludes the effectiveness of the proposed integrated algorithm.