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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.<\/jats:p>","DOI":"10.3233\/jifs-179458","type":"journal-article","created":{"date-parts":[[2019,11,24]],"date-time":"2019-11-24T12:53:17Z","timestamp":1574599997000},"page":"905-915","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":12,"title":["An intelligent approach for the evaluation of innovation projects"],"prefix":"10.1177","volume":"38","author":[{"given":"Funda","family":"Samanlioglu","sequence":"first","affiliation":[{"name":"Department of Industrial Engineering, Kadir Has University, Istanbul, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zeki","family":"Aya\u011f","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering, Kadir Has University, Istanbul, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2019,11,22]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijhydene.2018.08.024"},{"key":"e_1_3_1_3_2","unstructured":"AndrewJ.P. 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