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

Victor G. Alfaro - García (), Anna M. Gil – Lafuente () and Gerardo G. Alfaro Calderón ()
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Victor G. Alfaro - García: Department of Business Administration, University of Barcelona
Anna M. Gil – Lafuente: Department of Business Administration, University of Barcelona
Gerardo G. Alfaro Calderón: Faculty of Accounting and Management Sciences, Universidad Michoacana de San Nicolás de Hidalgo

Revista Nicolaita de Estudios Económicos, 2014, vol. IX, issue 2, 65-97

Abstract: Tourism plays a decisive role in the development of cities and regions, however increasing competition between touristic destinations, globalization and new trends produce 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.

Keywords: Uncertainty; Fuzzy logic; Galois group theory; Fuzzy sets; Tourism clusters (search for similar items in EconPapers)
JEL-codes: M11 M21 (search for similar items in EconPapers)
Date: 2014
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