Yalcin,A.S.Kilic,H.S.Guler,E.2024-05-252024-05-25202015978-303023755-42194-535710.1007/978-3-030-23756-1_762-s2.0-85069544004https://doi.org/10.1007/978-3-030-23756-1_76https://hdl.handle.net/20.500.14517/2489Research and development (R&D) project selection plays a fundamental role for the success of the enterprises. The evaluation of R&D projects in both production and service sectors is considered as a multi-criteria decision making (MCDM) problem since it contains several conflicting criteria. Based on the nature of the decision-making process, uncertainty and vagueness originate from the human judgments. In order to deal with this problem, intuitionistic fuzzy sets (IFSs) which are capable of overcoming ambiguity in decision-making process are handled. Firstly, IF-DEMATEL was utilized to illustrate the relationships between criteria and to remove inefficient criteria. Afterwards, by using the selected effective criteria, most appropriate alternative is found by using IF-TOPSIS. A numerical example was introduced to demonstrate the steps of the proposed approach. © 2020, Springer Nature Switzerland AG.eninfo:eu-repo/semantics/closedAccessIF-DEMATELIF-TOPSISR&D project selectionConference Object1029625633