Fuzzy Multi-Criteria Selection of Science Parks for Start-up Companies

DOI

10.2991/ijcis.2011.4.2.10How to use a DOI?

Abstract

Science parks are crucial for an innovative economic setting since they act as 'development catalysts' driving the startup of newly established high-tech firms. The selection of the appropriate science park becomes a major decision for start-up entrepreneurs since it is a multi-criterion decision problem which includes both qualitative and quantitative factors. The aim of this paper is to identify the important and critical decision criteria for science park selection and develop a decision support system for start-up entrepreneurs. In this study, a fuzzy multi-criteria science park selection model using the fuzzy analytic hierarchy process (FAHP) method is proposed and applied to analytically select the best science park for a start-up company in Turkey.

Copyright

© 2011, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Alp Ustundag
AU  - Mehmet Serdar Kilinc
PY  - 2011
DA  - 2011/04/01
TI  - Fuzzy Multi-Criteria Selection of Science Parks for Start-up Companies
JO  - International Journal of Computational Intelligence Systems
SP  - 217
EP  - 227
VL  - 4
IS  - 2
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2011.4.2.10
DO  - 10.2991/ijcis.2011.4.2.10
ID  - Ustundag2011
ER  -