FUZZY MULTICRITERIA SELECTION OF SCIENCE PARKS FOR START-UP COMPANIES


Üstündağ A. , Kilinc M. S. , Yanık Özbay S.

9th International FLINS Conference on Computational Intelligence: Foundations and Applications, Emei, PEOPLES R CHINA, 2 - 04 August 2010, vol.4, pp.478-483 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 4
  • City: Emei
  • Country: PEOPLES R CHINA
  • Page Numbers: pp.478-483

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. In this study, a fuzzy multi-criteria science park selection model is developed and applied for a start-up company in Turkey. We propose a model using fuzzy AHP method to analytically select the best science park for the start-up company.