Abstract

Industrial clusters try to exploit the effect of external economies and joint actions that come from the collaboration between their agents. But in order that these effects arise it is needed close cooperation partnerships between the agents in the industrial cluster, which could improve competitiveness. It’s obvious, therefore, that analyzing which are the relationships between the agents in the industrial cluster is critical to make strategic decisions that promote and improve the competitiveness of the industrial cluster. This paper proposes a methodology based on obtaining a fuzzy relation from which, applying Moore’s closure in an uncertain situation, we can identify subrelations that group industrial cluster agents depending on their degree of affinity based on the intensity of their relationships.

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