A fuzzy approach to innovation in tourism clusters using Galois group theory

Authors

  • Victor G. Alfaro - García' Departamento de Administración de Empresas, Universidad de Barcelona, 08034. Barcelona, España, México
  • Anna M. Gil - Lafuente Facultad de Contaduría y Ciencias Administrativas, Universidad Michoacana de San Nicolás de Hidalgo, 58030. Morelia, México.
  • Gerardo G. Alfaro Calderón Av. Diagonal, 690. 08034. Barcelona. España, México

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.

Downloads

Download data is not yet available.

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. The Nicolaita Journal of Economic Studies, 9(2), 65–97. Retrieved from https://rnee.umich.mx/index.php/rnee/article/view/274

Similar Articles

1 2 3 > >> 

You may also start an advanced similarity search for this article.