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Selecting firms in University technoparks: A hesitant linguistic fuzzy TOPSIS model for heterogeneous contexts

TítuloSelecting firms in University technoparks: A hesitant linguistic fuzzy TOPSIS model for heterogeneous contexts
Tipo de publicaciónRevista Internacional
Año de publicación2017
AutoresF. J. Estrella, S. Cevik Onar, R. M. Rodríguez, B. Oztaysi, L. Martínez and C. Kahraman
RevistaJournal of Intelligent and Fuzzy Systems
Volumen33
Incidencia2
Paginación1155-1172
Fecha Publicación2017
EditorialIOS Press
ISSN Number1064-1246
Resumen

A technopark is an innovation center created to enhance the collaboration between the university and firms. Due to its benefits many firms would like to be in it, but only a few can be selected. Therefore, it is usually necessary a complex decision analysis process for its selection that implies multiple conflicting criteria assessed under uncertain circumstances because of the imprecision or hesitation shown by the experts involved that generally implies a heterogeneous decision context. To manage such a complexity, this paper proposes a fuzzy TOPSIS multi-criteria decision making method to cope with previous types of uncertainties by using fuzzy modeling and hesitant fuzzy linguistic term sets that will facilitate the experts elicitation of information in order to obtain accurate, reliable and robust results in the selection process. Eventually, this model will be implemented in a system within FLINTSTONES software for supporting the selection process and applied to a real case study of the Istanbul technical university technopark. A sensitivity analysis is also performed to check the robustness of the given decisions.

URLhttp://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs16727
DOI10.3233/JIFS-16727
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Q3
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2.127
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