Open Access

ARTICLE

Multi-Attribute Selection Procedures Based on Regret and Rejoice for the Decision-Maker

by Hanan Abdullah Mengash^*, Manel Farouk Ayadi

Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, 11671, Saudi Arabia

* Corresponding Author: Hanan Abdullah Mengash. Email:

(This article belongs to the Special Issue: Powering the Future Intelligence - Ambient Social Media Analytics)

Computers, Materials & Continua 2022, 70(2), 2777-2795. https://doi.org/10.32604/cmc.2022.015434

Received 20 November 2020; Accepted 11 June 2021; Issue published 27 September 2021

Abstract

Feelings influence human beings’ decision-making; therefore, incorporation of feeling factors in decision-making is very important. Regret and rejoice are very important emotional feelings that can have a great impact on decision-making if they are considered together. While regret has received most of the attention in related research, rejoice has been less considered even though it can greatly influence people’s preferences in decision-making. Furthermore, systematically incorporating regret and rejoice in the multi-criteria decision-making (MCDM) modeling frameworks for decision-making has received little research attention. In this paper, we introduce a new multi-attribute selection procedure that incorporates both regret and rejoice to select the best choice. We utilize the positional advantage operator concept to develop regret and rejoice mathematical equations, and prove them. The proposed MCDM procedure that incorporates these two emotional factors offers a decision-maker the flexibility to trade off some benefits in order to gain a state of psychological satisfaction. More specifically, regret and rejoice are presented mathematically to enable the decision-maker to determine the values of regret and rejoice, and then make the decision in which the rejoice value is higher than the regret value. To test the performance of this new procedure, we apply it to three numerical examples proposed in previous works. The results are matched with those obtained by other methods such as the regret model, VIKOR, PROMETHEE I, and PROMETHEE II, thereby proving the efficacy of the new procedure.

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Keywords

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