Selecting firms in University technoparks: A hesitant linguistic fuzzy TOPSIS model for heterogeneous contexts
Tipo de publicación: International Journal
Año de publicación: 2017
Autores: Francisco Javier Estrella
Director: Sezi Onar, Rosa María Rodríguez, Basar Oztaysi, Luis Martínez, C. Kahraman
Tipo: Journal of Intelligent and Fuzzy Systems
Editorial: IOS Press
Incidencia: 2
Fecha de publicación: 2017
Volumen: 33
Paginación: 1155-1172
Numero ISSN: 1064-1246
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.
URL: http://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs16727
DOI: 10.3233/JIFS-16727
Cuartil:
Q3
Índice de impacto:
2.127