Samanlıoğlu, FundaSamanlıoğlu, FundaAyağ, Zeki2020-06-082020-06-082020141064-12461875-89671064-12461875-8967https://hdl.handle.net/20.500.12469/2896https://doi.org/10.3233/JIFS-179458In 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.eninfo:eu-repo/semantics/embargoedAccessInnovation project selectionFuzzyMultiple-criteria decision makingAHPVIKORArticle905915138WOS:00050685620008510.3233/JIFS-1794582-s2.0-85078327162N/AQ2