MODEL FOR THE RECOMMENDATION OF MEAT PRODUCTS USING METHOD MULTICRITERIA USING SVNN

Authors

  • Walter Bolívar Jarrín López Regional Autonomous University of Los Andes, Puyo, Pastaza, Ecuador
  • Nancy Silva Álvarez Regional Autonomous University of Los Andes, Puyo, Pastaza, Ecuador
  • Miryan Arévalo Haro Regional Autonomous University of Los Andes, Puyo, Pastaza, Ecuador

Keywords:

Multicriteria method, eutrosophic numbers, classification, beef

Abstract

Maintaining the supply chain of cattle introduces a challenge in the production destined for consumption, representing meat a food highly demanded by people. Measuring product quality is an essential element to ensure user satisfaction. Quality can be modeled from the behavior of a set of evaluative indicators through a multicriteria approach. The degree of compliance of an indicator is expressed through a direct relationship of performance or denial of this with a spectrum of neutrality representing a domain of neutrosophic values. The implementation of Soft Computing techniques has been used to represent uncertainty in decision-making processes of this nature. The present investigation describes a solution to the problem posed by developing a model that uses multicriteria method with Single-Valued Neutrosophic Number (SVNN) for the evaluation of the quality of the beef.

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Published

2024-06-05

How to Cite

Jarrín López, W. B., Silva Álvarez, N., & Arévalo Haro, M. (2024). MODEL FOR THE RECOMMENDATION OF MEAT PRODUCTS USING METHOD MULTICRITERIA USING SVNN. Investigación Operacional, 41(5). Retrieved from https://revistas.uh.cu/invoperacional/article/view/9328

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