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March 19, 2026Foundations of Computing and Decision Sciences1 citationsOpen Access

The Potential of Prospect Theory under Inductive Reasoning

ALAlexandre Bevilacqua LeonetiUniversidade de Ribeirão PretoLGLuiz Flávio Autran Monteiro GomesUniversidade Federal do ABC

Key Points

  • This research analyzes the potential of ExpTODIM and Behavioral TOPSIS under inductive reasoning in decision-making contexts.
  • Conducted an inductive reasoning analysis of ExpTODIM and Behavioral TOPSIS.
  • Compared results with multinomial regression analysis, a native inductive reasoning method.
  • Utilized accuracy measures to evaluate prediction performance.
  • ExpTODIM exhibited strong predictive accuracy in inductive reasoning scenarios.
  • Behavioral TOPSIS showed comparable results, supporting its application in decision making.
  • The findings suggest significant implications for artificial intelligence tasks, particularly in autonomous classification.

Abstract

Abstract The TODIM method was the first Multiple Criteria Decision Making (MCDM) approach to incorporate the advances of judgment and decision theory based on the findings of prospect theory. Since its advent, several studies have proposed new methods for the same purpose, such as Behavioral TOPSIS. Additionally, new versions of the original TODIM method have been developed to enhance its adherence to prospect theory. Among these approaches, the ExpTODIM version demonstrated high accuracy in predictions under deductive reasoning scenarios. In this research, an inductive reasoning analysis of the potential of ExpTODIM and Behavioral TOPSIS is conducted. The results are then compared with a native inductive reasoning method, namely multinomial regression analysis. It was found that ExpTODIM demonstrated strong potential for applications under an inductive reasoning perspective, which supports the application of prospect theory in tasks such as autonomous classification, a key area in artificial intelligence studies.

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Cite This Study

Leoneti et al. (2026) studied this question.

synapsesocial.com/papers/69bb9313496e729e62980d8dhttps://doi.org/10.2478/fcds-2026-0001
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