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

作者：Alfaro Garcia Victor G^*; Gil Lafuente Anna M; Alfaro Calderon Gerardo G

来源：Computational and Mathematical Organization Theory, 2017, 23(3): 391-408.

DOI：10.1007/s10588-016-9233-1

• Fuzzy clustering
• Decision analysis
• Multiple criteria evaluation
• Group decision-making

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.

• 出版日期2017-9