Analysis of the Stability of Clustering Structures Based on the MCDM Methods
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F17%3A10236888" target="_blank" >RIV/61989100:27510/17:10236888 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Analysis of the Stability of Clustering Structures Based on the MCDM Methods
Popis výsledku v původním jazyce
The measurement of regional development and the clustering of regions are the problem of high importance, especially in the context of EU Regional policy. Properly defined a lagging cluster of regions is the main recipient of the Structural and Cohesion Funds. Traditional clustering methods fail to rank regions what makes these methods not applicable for the problem of recipients' determination. In the current measurement practice MCDM methods are considered to be a suitable ranking tool. Meanwhile MCDM methods are not meant to cluster the alternatives considering similarities between all alternatives within the cluster in terms of all criteria. The quasi-clustering can be done, which is based on the consideration of distances to the etalon established by MCDM methods. In this research the stability analysis has been suggested as a tool to validate the number of quasi-clusters, to identify the most stable structure and to define the most suitable MCDM method for the clustering. Two MCDM methods were chosen to measure the regional development, in particular VIKOR and Hellwig's. By the stability analysis the VIKOR method was defined as the most suitable for clustering. Clustering Stability analysis was applied for the 35 NUTS 2 regions from Visegrad group.
Název v anglickém jazyce
Analysis of the Stability of Clustering Structures Based on the MCDM Methods
Popis výsledku anglicky
The measurement of regional development and the clustering of regions are the problem of high importance, especially in the context of EU Regional policy. Properly defined a lagging cluster of regions is the main recipient of the Structural and Cohesion Funds. Traditional clustering methods fail to rank regions what makes these methods not applicable for the problem of recipients' determination. In the current measurement practice MCDM methods are considered to be a suitable ranking tool. Meanwhile MCDM methods are not meant to cluster the alternatives considering similarities between all alternatives within the cluster in terms of all criteria. The quasi-clustering can be done, which is based on the consideration of distances to the etalon established by MCDM methods. In this research the stability analysis has been suggested as a tool to validate the number of quasi-clusters, to identify the most stable structure and to define the most suitable MCDM method for the clustering. Two MCDM methods were chosen to measure the regional development, in particular VIKOR and Hellwig's. By the stability analysis the VIKOR method was defined as the most suitable for clustering. Clustering Stability analysis was applied for the 35 NUTS 2 regions from Visegrad group.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
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OECD FORD obor
50202 - Applied Economics, Econometrics
Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2017
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
IBIMA 2017 : proceedings of the 30th international business information management association conference : November 8-9, 2017, Madrid, Spain
ISBN
978-0-9860419-9-0
ISSN
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e-ISSN
neuvedeno
Počet stran výsledku
9
Strana od-do
3629-3637
Název nakladatele
International Business Information Management Association
Místo vydání
Norristown
Místo konání akce
Madrid
Datum konání akce
8. 11. 2017
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
000443640502112