| Title of paper:
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Development of intuitionistic fuzzy integrated super-efficiency SBM model
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| Author(s):
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| Alka Arya
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| Department of Mathematics, Indian Institute of Technology, Roorkee, India
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| alka1dma@iitr.ac.in
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| Shiv Prasad Yadav
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| Department of Mathematics, Indian Institute of Technology, Roorkee, India
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| yadavfma@iitr.ac.in
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| Published in:
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Notes on Intuitionistic Fuzzy Sets, Volume 24 (2018), Number 1, pages 131–140
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| DOI:
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https://doi.org/10.7546/nifs.2018.24.1.131-140
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| Download:
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 PDF (538 Kb Kb, Info)
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| Abstract:
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Slack based measure (SBM) model determines the performance efficiency of homogeneous decision making units (DMUs) and also determines the efficient and inefficient DMUs. Super-efficiency SBM (SESBM) model determines the efficiency of efficient DMUs. Guo et al. [7] proposed an integrated super-efficiency SBM (ISESBM) model which determines the efficiency and super-efficiency of DMUs using one model. In conventional ISESBM, the data is crisp. But it fluctuates in the real world applications. Such data can take the form of fuzzy / interval / intuitionistic fuzzy (IF) numbers. In this paper, we propose an IF ISESBM (IFISESBM) model using expected value of intuitionistic fuzzy numbers (IFNs). Finally, a health sector application of the proposed model is presented with two IF inputs and two IF outputs.
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| Keywords:
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Integrated super-efficiency slack based measure, Intuitionistic fuzzy integrated super-efficiency slack based measure, Posterior efficiency.
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| AMS Classification:
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03E72.
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| References:
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