COMPENSATORY LOGIC: A FUZZY NORMATIVE MODEL FOR DECISION MAKING

Authors

  • Rafael Espin Andrade Management Studies Center (CETDIR)
  • Gustavo Mazcorro Téllez Interdisciplinary College of Engineering, Social and Management Sciences, UPIICSA
  • Eduardo Fernández González University of Sinaloa
  • Jorge Marx-Gómez Magdeburg University Otto von Guericke
  • María Ines Lecich San Juan University

Keywords:

Fuzzy Logic, management, decision making, Multivalued Logic

Abstract

Fuzzy Logic is a convenient approach for decision making. Its capacity to incorporate verbal statements into formal modeling is advantageous for a systematic treatment of actual situations. This vantage comes from a proper interaction between decision-maker’s information and expert reasoning. Many revealing studies deal with multi-valued logics, covering the examination of a variety of operators. However, the real possibility of incorporating “expert knowledge” and the subjectivity inherent to decision makers in practical situations remains limited. This paper proposes an alternative axiomatic multi-valued logic system to
overcome such limitation. The system disregards the classical concepts of norm and co-norm. Existential and universal quantifiers are defined consequently, and propositional bivalent classic calculus is also introduced within the logical structure

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Published

2023-06-10

How to Cite

Espin Andrade, R., Mazcorro Téllez, G., Fernández González, E., Marx-Gómez, J., & Ines Lecich, M. (2023). COMPENSATORY LOGIC: A FUZZY NORMATIVE MODEL FOR DECISION MAKING. Investigación Operacional, 27(2). Retrieved from https://revistas.uh.cu/invoperacional/article/view/6410

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