Affiliation:
1. Department of Business Administration, University of Barcelona, Barcelona, Spain
Abstract
Perhaps more than ever, new economic and enterprise needs have increased the
interest and utility of the methods of the grouping process based on the
theory of uncertainty. Numerous studies made in this field until recently
have contributed with a great number of techniques and algorithms that proved
their efficiency in resolving challenging problems that arise in an economic
management framework of modern companies. A fuzzy grouping (clustering)
process is a key phase of knowledge acquisition and reduction complexity
regarding different groups of objects. In this study, we consider some
elements of the theory of affinities and uncertain pretopology which form a
significant support tool for a fuzzy clustering process. A Galois lattice is
also introduced in order to provide a clearer vision of the results we
obtained in a previous process. We implement this useful set of mathematical
elements to make an homogeneous grouping process of the economic regions of
Russian Federation and Ukraine. The obtained results give us a large
situational panorama of a regional economic situation of two countries as
well as the key guidelines to follow in a decision-making process. We offer
the calculus for two different countries to demonstrate the significant
differences that could be obtained taking into account the minimum changes of
an input data basis. The mathematical method is very sensible to any changes
that the economic situation of the regions can have. In this study, we
pretend to give an alternative method of the grouping process for any modern
company that performs its activity under uncertainty.
Publisher
National Library of Serbia
Cited by
1 articles.
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