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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F18%3A39913569" target="_blank" >RIV/00216275:25410/18:39913569 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

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

ISSN

1211-555X

e-ISSN

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Svazek periodika

26

Číslo periodika v rámci svazku

44

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

12

Strana od-do

221-232

Kód UT WoS článku

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EID výsledku v databázi Scopus

2-s2.0-85065589998