METHODOLOGICAL STRUCTURE FOR THE AGGREGATION OF MUNICIPALITIES UNDER UNCERTAINTY CONDITIONS. THE CASE OF MICHOACÁN, MÉXICO

Abstract

Through the last years, there has been an increasing interest for accelerating
the economical, social and environmental development of cities through
associations, organization and creation of synergies. Our investigation
pretends to apply administration models for the analysis and treatment
of variables, combinatory processes and affinity models, which could find
the most similar municipalities of one region. The results obtained by
this study pretend to support projects in order to increase the regional
development of the Latin-American State of Michoacán, México. Through
the model, process and results we look forward to offer a strategic proposal
for associations between similar municipalities, by doing this action, we
try to fill the gap that is found in the field of analysing the present frames
of associations, which are mainly driven by empirical decisions. In order
to achieve this task we will use tools for the treatment of fuzzy sets theory,
evaluating related elements and finding similarities between municipalities
under the Pichat algorithm.