An extension behavioural TOPSIS method for decision-making problem with fuzzy information

The concept of TOPSIS has been seen in many multi-criteria decisions but it is a built-in multi-attribute value function that is not explicitly specified. In many cases, the decision maker (DM) has to adopt certain policies with regard to the expected benefits and losses in the model and make good economic behaviour with new decisions. The present paper presents the concepts the behavioural TOPSIS under a fuzzy environment that considers the behavioural tendency in the decision-making process. The behavioural TOPSIS may not be the best rational choice, but it is the logical outcome of a variety of decision-making methods. In behavioural fuzzy TOPSIS, DM considers the benefit-loss ratio and provides weighted attributes in the process of economic behaviour. Here, at first, we re-present the classic TOPSIS method according to the traditional decision theory. Then, we describe behavioural TOPSIS and fuzzy TOPSIS in detail. In the following, the proposed method is presented along with its step-by-step algorithm. Finally, a numerical example is presented to illustrate the behavioural fuzzy TOPSIS model and the method of ranking all the suppliers. Copyright © 2024 Inderscience Enterprises Ltd.