SOCIAL RESEARCH AND FUZZY LOGIC.THE ANALYSIS OF INDUSTRIAL DISTRICT

Vincenzo Corsi ()
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Vincenzo Corsi: University of Chieti–Pescara, Italy

THE YEARBOOK OF THE "GH. ZANE" INSTITUTE OF ECONOMIC RESEARCHES, 2017, vol. 26, issue 1, 20-27

Abstract: The aim of this work is to analyze the social and economic development in Italy and the role of industrial districts. This work describes the Italian model of industrial districts and the method to locate the presence of an industrial district in the region. The presence of small and medium-sized firms in the area often give rise to complex organizations based on cooperation and competition between them. In this work, Fuzzy logic is used as a methodological instrument to offer a view over Italian industrial districts. Given that Fuzzy logic recognizes more than simple true and false values, propositions can be represented with degrees of truth and falsehood. Fuzzy logic can be considered as a an equivalent of the fuzzy set theory: we can define social phenomena in terms of degrees of belonging to a homogeneous set of phenomena. This paper presents a method to identify clusters according to a Fuzzy logic; the perspective is sociological. Furthermore, In this paper, a method of study is proposed in practical terms with the sociological aspects of interpretation

Keywords: fuzzy logic; economic development; industrial districts (search for similar items in EconPapers)
Date: 2017
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