Multi-expert performance evaluation of healthcare institutions using an integrated intuitionistic fuzzy AHP&DEA methodology

Otay I., Öztayşi B., Onar S. C., Kahraman C.

KNOWLEDGE-BASED SYSTEMS, vol.133, pp.90-106, 2017 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 133
  • Publication Date: 2017
  • Doi Number: 10.1016/j.knosys.2017.06.028
  • Journal Name: KNOWLEDGE-BASED SYSTEMS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.90-106
  • Istanbul Technical University Affiliated: Yes

Abstract

Healthcare 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.