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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

A novel version of the TODIM method based on the exponential model of prospect theory: The ExpTODIM method

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Author(s):
Leoneti, Alexandre Bevilacqua [1] ; Autran Monteiro Gomes, Luiz Flavio [2]
Total Authors: 2
Affiliation:
[1] Univ Sao Paulo, Sch Econ, Business Adm & Accounting, Ribeirao Preto - Brazil
[2] Ibmec Univ Ctr, Sch Econ & Business, Rio De Janeiro - Brazil
Total Affiliations: 2
Document type: Journal article
Source: European Journal of Operational Research; v. 295, n. 3, p. 1042-1055, DEC 16 2021.
Web of Science Citations: 1
Abstract

The adherence of the TODIM method and its variations, including two new versions of TODIM with the use of the exponential and logarithmic functions, to prospect theory was compared based on performance indicators with a very frequently used MCDM method, namely TOPSIS and its variation, Behavioral TOPSIS. It was hypothesized that the use of methods with mathematical models more adherent to prospect theory would provide more accurate predictions of individual decision making. A hundred students from the University of Sao Paulo in Ribeirao Preto were invited to participate in a field study where three different cases should be solved without the support of any method. Then, performance indicators were used to evaluate the prediction capacity of the methods with the ones provided by the volunteers, having the TODIM method with the new mathematical function presented in this paper, hereafter named Exponential TODIM (ExpTODIM), reached the best scores in all three performance indicators. The main contribution of the present paper is the proposal of a novel version of TODIM method that fits among the low implementation complexity multicriteria methods with high predictive power, since it is based on a value function that is more adherent to prospect theory. (c) 2021 Elsevier B.V. All rights reserved. (AU)

FAPESP's process: 16/03722-5 - Structural development for the use of Game Theory in organizational group multicriteria decision making problem solving
Grantee:Alexandre Bevilacqua Leoneti
Support Opportunities: Regular Research Grants