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

In: Neutrosophic Operational Research

Author

Listed:
  • Rafael Rojas-Gualdron

    (Universidad Industrial de Santander)

  • Florentin Smarandache

    (University of New Mexico)

  • Carlos Diaz-Bohorquez

    (Universidad Industrial de Santander)

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.

Suggested Citation

  • Rafael Rojas-Gualdron & Florentin Smarandache & Carlos Diaz-Bohorquez, 2021. "Neutrosophic Probabilistic Expert System for Decision-Making Support in Supply Chain Risk Management," Springer Books, in: Florentin Smarandache & Mohamed Abdel-Basset (ed.), Neutrosophic Operational Research, pages 343-366, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-57197-9_17
    DOI: 10.1007/978-3-030-57197-9_17
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