Method for the gastronomic recommendation of the typical huecas of the city of Ambato, province of Tungurahua

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Lila Galicia Chávez Fonseca
Jorge Abelardo Ortiz Miranda
Adriano Israel Tello Velasteguí
Erika Paola Gavilanes González

Abstract

The present research aims to develop a method for the gastronomic characterization of the typical restaurants of the city of Ambato, province of Tungurahua. It uses a multi-criteria multi-expert approach. The degree of compliance with a criterion is expressed through a direct relationship of the neutrality performance representing a domain of neutrosophic values ​​to model uncertainty. The implementation of Soft Computing techniques has been used to represent uncertainty in decision-making processes of this nature. The research has been carried out in order to achieve the characterization and gastronomic recommendation of the typical restaurants of the city of Ambato, province of Tungurahua.

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How to Cite
Method for the gastronomic recommendation of the typical huecas of the city of Ambato, province of Tungurahua. (2024). Neutrosophic Computing and Machine Learning. ISSN 2574-1101, 35, 418-425. https://fs.unm.edu/NCML2/index.php/112/article/view/654
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How to Cite

Method for the gastronomic recommendation of the typical huecas of the city of Ambato, province of Tungurahua. (2024). Neutrosophic Computing and Machine Learning. ISSN 2574-1101, 35, 418-425. https://fs.unm.edu/NCML2/index.php/112/article/view/654

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