Otay, IremOztaysi, BasarOnar, Sezi CevikKahraman, CengizCevik Onar, Sezi2024-05-252024-05-2520170950-70511872-740910.1016/j.knosys.2017.06.0282-s2.0-85021792653https://doi.org/10.1016/j.knosys.2017.06.028https://hdl.handle.net/20.500.14517/527Oztaysi, Basar/0000-0002-1090-7963; kahraman, cengiz/0000-0001-6168-8185; Onar, Sezi Cevik/0000-0001-6451-6709; OTAY, IREM/0000-0001-5895-506XHealthcare management and healthcare industry have been one of the popular and complex topics that many researchers and professionals have focused on. This paper proposes a new multi-expert fuzzy approach integrating intuitionistic fuzzy Data Envelopment Analysis (DEA) and intuitionistic fuzzy Analytic Hierarchy Process (IF-AHP) for solving the performance evaluation problem of healthcare institutions. In this paper, intuitionistic fuzzy sets (IFS) have been preferred since they simultaneously provide information on the membership, non-membership, and hesitancy functions. A real life problem is demonstrated to validate the proposed methodology. A total number of 16 hospitals operating in Istanbul have been analyzed based on a broad set of inputs and outputs. Then, a comparison with crisp DEA has been performed. (C) 2017 Elsevier B.V. All rights reserved.eninfo:eu-repo/semantics/closedAccessHealthcareData Envelopment Analysis (DEA)Analytic Hierarchy Process (AHP)FuzzyTriangular Intuitionistic Fuzzy Set (TIFS)Article124