Neutrosophic Probabilistic Expert System for Decision-Making Support in Supply Chain Risk Management

Rafael Rojas-Gualdron (), Florentin Smarandache () and Carlos Diaz-Bohorquez ()
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Rafael Rojas-Gualdron: Universidad Industrial de Santander
Florentin Smarandache: University of New Mexico
Carlos Diaz-Bohorquez: Universidad Industrial de Santander

A chapter in Neutrosophic Operational Research, 2021, pp 343-366 from Springer

Abstract: Abstract The purpose of this paper is to establish the application of neutrosophical theory as an effective tool for the treatment of uncertainty in supply chain risk management, by creating a neutrosophical probabilistic expert system that obtains information from several experts which contains indeterminacy due to the lack of consensus among decision makers, lack of knowledge, or ambiguity in their statements. An example is presented to illustrate the proposed methodology, scenarios are simulated to check the effectiveness of the expert system responses, and it is finally concluded that neutrosophical theory can be used efficiently in the treatment of uncertainty in the decision-making process.

Keywords: Neutrosophic theory; Multiple criteria decision-making; Supply chain risk management; Risk quantification; Probabilistic expert systems (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-57197-9_17

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DOI: 10.1007/978-3-030-57197-9_17

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