Competitiveness of Visegrad Four NUTS 2 Regions Evaluated by the Analytic Hierarchy Process and the Hybrid Eigenvalue-Fuzzy Cognitive Map Approach

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19520%2F13%3A%230002426" target="_blank" >RIV/47813059:19520/13:#0002426 - isvavai.cz</a>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Competitiveness of Visegrad Four NUTS 2 Regions Evaluated by the Analytic Hierarchy Process and the Hybrid Eigenvalue-Fuzzy Cognitive Map Approach

Popis výsledku v původním jazyce

We live in world of everyday competition. We have to determine winners and losers constantly. The aim of this paper is to determine the competitiveness ranking of NUTS 2 regions in Visegrad four countries based on expert estimations and using analytic hierarchy process (AHP) and hybrid eigenvalue-fuzzy cognitive map approach (HEFCM). Regions are compared by macroeconomic indicators as follows: employment rate (ER), gross domestic product (GDP), gross fixed capital formation (GFCF), knowledge intensive services (KIS), net disposable income (NDI) and patents (PAT). In this paper we work with data of the closed programming period of years 2000 - 2006. Two multicriteria decision making methods are applied to rank regions with regard to their ability to compete. The first one is the analytic hierarchy process which structures the problem in hierarchy and uses pairwise comparisons. The second one is hybrid eigenvalue-fuzzy cognitive map approach derived from analytic network process and cogn

Název v anglickém jazyce

Competitiveness of Visegrad Four NUTS 2 Regions Evaluated by the Analytic Hierarchy Process and the Hybrid Eigenvalue-Fuzzy Cognitive Map Approach

Popis výsledku anglicky

We live in world of everyday competition. We have to determine winners and losers constantly. The aim of this paper is to determine the competitiveness ranking of NUTS 2 regions in Visegrad four countries based on expert estimations and using analytic hierarchy process (AHP) and hybrid eigenvalue-fuzzy cognitive map approach (HEFCM). Regions are compared by macroeconomic indicators as follows: employment rate (ER), gross domestic product (GDP), gross fixed capital formation (GFCF), knowledge intensive services (KIS), net disposable income (NDI) and patents (PAT). In this paper we work with data of the closed programming period of years 2000 - 2006. Two multicriteria decision making methods are applied to rank regions with regard to their ability to compete. The first one is the analytic hierarchy process which structures the problem in hierarchy and uses pairwise comparisons. The second one is hybrid eigenvalue-fuzzy cognitive map approach derived from analytic network process and cogn

Druh

D - Stať ve sborníku

CEP obor

AH - Ekonomie

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název statě ve sborníku

11th International Conference on Knowledge, Economy and Management (ICKEM 2013)

ISBN

9786058603615

ISSN

—

e-ISSN

—

Počet stran výsledku

10

Strana od-do

—

Název nakladatele

University of Malta

Místo vydání

Valletta

Místo konání akce

Valletta, Malta

Datum konání akce

27. 11. 2013

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

—