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Model for Quality of Life Evaluation of NUTS2 Regions with Rule-Based Systems
Year: 2018
Type of publication: článek v odborném periodiku
Name of source: Scientific Papers of the University of Pardubice - Series D, Faculty of Economics and Administration
Page from-to: 221-232
Titles:
Language Name Abstract Keywords
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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