A FUZZY APPROACH TO INNOVATION IN TOURISM CLUSTERS USING GALOIS GROUP THEORY

Authors

  • Victor G. Alfaro - García'
  • Anna M. Gil - Lafuente
  • Gerardo G. Alfaro Calderón

Keywords:

Uncertainty, Fuzzy logic, Galois group theory, Fuzzy sets, Tourism clusters

Abstract

Tourism plays a decisive role in the development of cities and regions, however increasing competition between touristic destinations, globalization and new trends suppose novel challenges to decision and policy makers. A methodological structure towards grouping diverse highlights of the city of Morelia, Michoacán — México using Galois Group Theory and Fuzzy Logic is proposed. Results conclude that products with different characteristics, properties and peculiarities can be grouped over a structured and visual technique. The originality of the study relies on the capacity and flexibility of the model to group different highlights under subjective and uncertain conditions.

Published

2022-02-01

How to Cite

Alfaro - García’, V. G. ., Gil - Lafuente, A. M. ., & Alfaro Calderón, G. G. (2022). A FUZZY APPROACH TO INNOVATION IN TOURISM CLUSTERS USING GALOIS GROUP THEORY. Revista Nicolaita De Estudios Económicos, 9(2), 65–97. Retrieved from https://rnee.umich.mx/index.php/rnee/article/view/274