Article: An extension behavioural TOPSIS method for decision-making problem with fuzzy information Journal: International Journal of Applied Decision Sciences (IJADS) 2024 Vol.17 No.2 pp.250 - 269 Abstract: 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. Inderscience Publishers - linking academia, business and industry through research

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

Authors: Fereshteh Khademi; Farzad Rezai Balf; Mohsen Rabbani; Reza Shahverdi

Addresses: Department of Mathematics, Islamic Azad University, Sari Branch, Sari, Iran ' Department of Mathematics, Islamic Azad University, Qaemshahr Branch, Qaemshahr, Iran ' Department of Mathematics, Islamic Azad University, Sari Branch, Sari, Iran ' Department of Mathematics, Islamic Azad University, Qaemshahr Branch, Qaemshahr, Iran

Abstract: 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.

Keywords: TOPSIS; fuzzy TOPSIS; behavioural TOPSIS; behavioural fuzzy TOPSIS.

DOI: 10.1504/IJADS.2024.137096

International Journal of Applied Decision Sciences, 2024 Vol.17 No.2, pp.250 - 269

Received: 21 Apr 2022
Accepted: 01 Nov 2022
Published online: 01 Mar 2024 *

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

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