A fuzzy approach to a municipality grouping model towards creation of synergies

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

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Bibliographic Details
Published inComputational and mathematical organization theory Vol. 23; no. 3; pp. 391 - 408
Main Authors Alfaro-García, Víctor G., Gil-Lafuente, Anna M., Alfaro Calderón, Gerardo G.
Format Journal Article
LanguageEnglish
Published New York Springer US 01.09.2017
Springer Nature B.V
Subjects
Artificial Intelligence
Business and Management
Cities
Competition
Competitive advantage
Decision making
Fuzzy logic
Fuzzy sets
Group decision making
Group theory
Human capital
Management
Methodology of the Social Sciences
Municipalities
Operations Research/Decision Theory
Organization theory
Productivity
Qualitative analysis
Regions
Social development
Sociology
Fuzzy clustering
Multiple criteria evaluation
Group decision-making
Decision analysis
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Summary:In recent years, a trend for accelerating the economic, social and environmental development of cities through associations, organization and creation of synergies has been identified. Our investigation applies a grouping model in order to identify municipalities that could create optimal synergies towards the construction of competitive advantages. In order to achieve this task, we use tools of Fuzzy Logic to evaluate subjective and qualitative characteristic elements of different municipalities under Galois’ group theory. Results conclude on 32 different groups ordered in 7 different levels, relating 12 municipalities of a specific region according to 8 competitive variables. This work seeks to shed light in the conformation of groups under uncertain conditions and the deep examination of the characteristic competitive elements in a specific region for further policy and decision-making processes.
ISSN:1381-298X
1572-9346
DOI:10.1007/s10588-016-9233-1