APPLYING FUZZY LOGIC RESOURCES FOR HOTEL CLUSTERING WITHIN A TOURISTIC DESTINATION, APLICACION DE RECURSOS FUZZY LOGIC PARA LA ASOCIACION DE HOTELES DE UN DESTINO TURISTICO

Gerardo Gabriel Alfaro Calderón, Víctor Gerardo Alfaro García and Federico González Santoyo

Revista Internacional Administracion & Finanzas, 2016, vol. 9, issue 4, 95-107

Abstract: One of the main problems with creating clusters is the choice of elements. This occurs mainly because of a degree of uncertainty of failing to obtain desired results or the loss of competitive advantage. The theory sustains the higher the degree of similarity in environmental conditions and customer characteristics within the cluster members the lesser the uncertainty. As a result, this article provides an application of resources using the fuzzy logic technique of data mining and the similarity theory that will guarantee solving the problem of choosing the best members for the cluster. Within the development of this analysis we considered a cluster variable of hotel competitiveness based on: human resources management, technological resources, innovation resources, organizational resources and commercial resources. All these factors are based on the theory of resources and capabilities. The results provide six groups of highly intertwined members which could create effective clusters.

Keywords: Affinity; Hotel; Pichat algorithm. Cluster (search for similar items in EconPapers)
JEL-codes: L16 M14 O14 (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:ibf:riafin:v:9:y:2016:i:4:p:95-107

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