Application of FUZZY-AHP for Industrial Cluster Identification

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86090972" target="_blank" >RIV/61989100:27240/14:86090972 - isvavai.cz</a>

Výsledek na webu

<a href="http://link.springer.com/chapter/10.1007%2F978-3-319-08156-4_32" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-319-08156-4_32</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-08156-4_32" target="_blank" >10.1007/978-3-319-08156-4_32</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Application of FUZZY-AHP for Industrial Cluster Identification

Popis výsledku v původním jazyce

Identifying industrial cluster has become a key strategic decision, during recent years. However, the nature of these decisions is usually uncertain and vague. From the existing methods, there is no single method which handles the uncertainty. This paper proposes a Fuzzy-AHP based industrial cluster identification model to solve the pitfalls with the exiting cluster identification methods. As a result, quantitative and qualitative factors including geographical proximity, sectorial concentration, market potential, support services, resource potential and potential entrepreneurs are found to be critical factors in cluster identification. In this paper, linguistic values are used to assess the ratings and weights of the factors. Then, AHP model based on fuzzy-sets theory will be proposed in dealing with the cluster selection problems. Finally, Ethiopian Tanning industries were taken to prove and validate the procedure of the proposed method. A sensitivity analysis is also performed to justify the results. Springer International Publishing Switzerland 2014.

Název v anglickém jazyce

Application of FUZZY-AHP for Industrial Cluster Identification

Popis výsledku anglicky

Identifying industrial cluster has become a key strategic decision, during recent years. However, the nature of these decisions is usually uncertain and vague. From the existing methods, there is no single method which handles the uncertainty. This paper proposes a Fuzzy-AHP based industrial cluster identification model to solve the pitfalls with the exiting cluster identification methods. As a result, quantitative and qualitative factors including geographical proximity, sectorial concentration, market potential, support services, resource potential and potential entrepreneurs are found to be critical factors in cluster identification. In this paper, linguistic values are used to assess the ratings and weights of the factors. Then, AHP model based on fuzzy-sets theory will be proposed in dealing with the cluster selection problems. Finally, Ethiopian Tanning industries were taken to prove and validate the procedure of the proposed method. A sensitivity analysis is also performed to justify the results. Springer International Publishing Switzerland 2014.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

Advances in Intelligent Systems and Computing. Volume 303

ISBN

978-3-319-08155-7

ISSN

2194-5357

e-ISSN

—

Počet stran výsledku

10

Strana od-do

323-332

Název nakladatele

Springer-Verlag Berlin Heidelberg

Místo vydání

Berlin Heidelberg

Místo konání akce

Ostrava

Datum konání akce

23. 6. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000342841800032