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

Víctor G. Alfaro-García (), Anna M. Gil-Lafuente () and Gerardo G. Alfaro Calderón ()
Additional contact information
Víctor G. Alfaro-García: Universitat de Barcelona
Anna M. Gil-Lafuente: Universitat de Barcelona
Gerardo G. Alfaro Calderón: Universidad Michoacana de San Nicolás de Hidalgo

Computational and Mathematical Organization Theory, 2017, vol. 23, issue 3, No 4, 408 pages

Abstract: Abstract 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.

Keywords: Fuzzy clustering; Decision analysis; Multiple criteria evaluation; Group decision-making (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s10588-016-9233-1 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:comaot:v:23:y:2017:i:3:d:10.1007_s10588-016-9233-1

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10588

DOI: 10.1007/s10588-016-9233-1

Access Statistics for this article

Computational and Mathematical Organization Theory is currently edited by Terrill Frantz and Kathleen Carley

More articles in Computational and Mathematical Organization Theory from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().