Publikace detail

Model for Quality of Life Evaluation of NUTS2 Regions with Rule-Based Systems

Rok: 2018

Druh publikace: článek v odborném periodiku

Název zdroje: Scientific Papers of the University of Pardubice - Series D, Faculty of Economics and Administration

Strana od-do: 221-232

Tituly:

Jazyk	Název	Abstrakt	Klíčová slova
cze	Model for Quality of Life Evaluation of NUTS2 Regions with Rule-Based Systems	This article deals with NUTS 2 regions quality of life (QL) evaluation for the Visegrad Group in year 2015 developed by means of rules based methods. QL evaluation is a phenomenon, topical issue, dealt with by a large number of institutions and organizations. Approaches to QL evaluation however differ and there exists a whole range of indicator sets and methodologies for QL evaluation. The evaluation is based on Eurostat methodology for QL evaluation in this article. The QL evaluation works with official indicators of this methodology and uses rule-based systems methods: Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) - modification fuzzy TOPSIS, fuzzy inference system (FIS) and Case-based Reasoning (CBR) and with using pre-defined fuzzy sets. The objective of this article is to create a model for QL evaluation based on utilization of the above-stated methods, comparing results of the individual methods and the total results of such QL evaluation. Another objective of this article is to achieve fairness supported by this model – the results from this model shall serve as recommendations for provision of subsidies for regional development including the definition for what area such subsidy should be used.	Case-based Reasoning; fuzzy inference system; fuzzy sets; quality of life; NUTS 2 regions; TOPSIS
eng	Model for Quality of Life Evaluation of NUTS2 Regions with Rule-Based Systems	This article deals with NUTS 2 regions quality of life (QL) evaluation for the Visegrad Group in year 2015 developed by means of rules based methods. QL evaluation is a phenomenon, topical issue, dealt with by a large number of institutions and organizations. Approaches to QL evaluation however differ and there exists a whole range of indicator sets and methodologies for QL evaluation. The evaluation is based on Eurostat methodology for QL evaluation in this article. The QL evaluation works with official indicators of this methodology and uses rule-based systems methods: Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) - modification fuzzy TOPSIS, fuzzy inference system (FIS) and Case-based Reasoning (CBR) and with using pre-defined fuzzy sets. The objective of this article is to create a model for QL evaluation based on utilization of the above-stated methods, comparing results of the individual methods and the total results of such QL evaluation. Another objective of this article is to achieve fairness supported by this model – the results from this model shall serve as recommendations for provision of subsidies for regional development including the definition for what area such subsidy should be used.	Case-based Reasoning; fuzzy inference system; fuzzy sets; quality of life; NUTS 2 regions; TOPSIS

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