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.
Original language | English |
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Pages (from-to) | 90-106 |
Number of pages | 17 |
Journal | Knowledge-Based Systems |
Volume | 133 |
DOIs | |
Publication status | Published - 1 Oct 2017 |
Bibliographical note
Publisher Copyright:© 2017 Elsevier B.V.
Keywords
- Analytic Hierarchy Process (AHP)
- Data Envelopment Analysis (DEA)
- Fuzzy
- Healthcare
- Triangular Intuitionistic Fuzzy Set (TIFS)