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Information Journal Paper

Title

Self-efficiency assessment of sustainable dynamic network healthcare service system under uncertainty: Hybrid fuzzy DEA-MCDM method

Pages

  2191-2209

Abstract

 In this paper, sustainability-related factors involved in the success of healthcare system management including a group of hospitals are considered. A three-pronged approach is adopted based on the internal functions of a hospital which affect such functions as social responsibility and the ones related to the services received from health centers. A novel comprehensive multi-period evaluation of hospital performance is applied to the proposed Dynamic network. This hybrid data envelopment analysisbased fuzzy multi-criteria decision-making model incorporates fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL), and the best-worst method provides a number of useful managerial insights based on a realistic case study from Iran to ensure sustainable management of the healthcare system. Obtained results indicate the important role of considering potential inter-related relations between network nodes to ensure a comprehensive performance assessment of the healthcare service system.

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    APA: Copy

    HASANI, A., & MOKHTARI, H.. (2022). Self-efficiency assessment of sustainable dynamic network healthcare service system under uncertainty: Hybrid fuzzy DEA-MCDM method. SCIENTIA IRANICA, 29(4 (Transactions E: Industrial Engineering)), 2191-2209. SID. https://sid.ir/paper/1050289/en

    Vancouver: Copy

    HASANI A., MOKHTARI H.. Self-efficiency assessment of sustainable dynamic network healthcare service system under uncertainty: Hybrid fuzzy DEA-MCDM method. SCIENTIA IRANICA[Internet]. 2022;29(4 (Transactions E: Industrial Engineering)):2191-2209. Available from: https://sid.ir/paper/1050289/en

    IEEE: Copy

    A. HASANI, and H. MOKHTARI, “Self-efficiency assessment of sustainable dynamic network healthcare service system under uncertainty: Hybrid fuzzy DEA-MCDM method,” SCIENTIA IRANICA, vol. 29, no. 4 (Transactions E: Industrial Engineering), pp. 2191–2209, 2022, [Online]. Available: https://sid.ir/paper/1050289/en

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