Affiliations: Department of Industrial Engineering, Kadir Has University, Istanbul, Turkey
Correspondence:
[*]
Corresponding author. Funda Samanlioglu, Department of Industrial Engineering, Kadir Has University, 34083 Cibali, Istanbul, Turkey. Tel.: +90 212 533 6532; Fax: +90 212 533 4327; E-mail: fsamanlioglu@khas.edu.tr.
Abstract: In this study, an intelligent approach is presented for the evaluation and selection of innovation projects. Selecting the best innovation project is a complicated multiple criteria decision making (MCDM) problem with several potentially competing quantitative and qualitative criteria. In this paper, two hesitant fuzzy MCDM methods; hesitant fuzzy Analytic Hierarchy Process (hesitant F-AHP) and hesitant fuzzy VIsekriterijumska optimizacija i KOmpromisno Resenje (hesitant F-VIKOR) are integrated to evaluate and rank innovation projects. In the hesitant fuzzy AHP-VIKOR, hesitant F-AHP is used to find fuzzy evaluation criteria weights and hesitant F-VIKOR is implemented to rank innovation project alternatives. A numerical example is given where five innovation projects are evaluated based on nine criteria by three decision makers.
