A FUZZY APPROACH TO COMPETITIVE CLUSTERS USING GALOIS LATTICE AND MOORE'S FAMILIES

In recent years a trend for accelerating the economical, social and environmental development of cities through associations, organization and creation of synergies has been identified. Our investigation pretends to apply a grouping model in order to identify economic zones that could create optimal...

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Bibliographic Details
Published inJournal of computational optimization in economics and finance Vol. 6; no. 3; p. 197
Main Authors Alfaro-García, Víctor G, Gil-Lafuente, Ana Maria, Calderón, Gerardo G Alfaro
Format Journal Article
LanguageEnglish
Published Hauppauge Nova Science Publishers, Inc 01.09.2014
Subjects
Algebraic group theory
Cluster analysis
Clusters
Competition
Culture
Decision making
Decisions
Economic activity
Economic development
Economic growth
Economic policy
Economics
Entrepreneurship
Finance
Fuzzy
Fuzzy logic
Fuzzy set theory
Fuzzy sets
GDP
Globalization
Gross Domestic Product
Mathematical models
Multiple criteria decision making
Natural resources
Optimization
Organizations
Studies
Tourism
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Summary:In recent years a trend for accelerating the economical, social and environmental development of cities through associations, organization and creation of synergies has been identified. Our investigation pretends to apply a grouping model in order to identify economic zones that could create optimal synergies towards the construction of competitive advantages. We try to fill the gap that is found in the field of analyzing the present frames of associations, which are mainly driven by empirical decisions. In order to achieve this task we will use tools of Fuzzy Sets Theory, evaluating economic variables of a specific municipality under Moore Family model and Galois' group theory to create competitive clusters.
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ISSN:1941-3971