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Self-assessment of parallel network systems with intuitionistic fuzzy data: a case study

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Abstract

In hospital management, it is often observed that each decision making unit is under different and uncontrollable conditions. Consequently, comparing the units to each other cannot necessarily identify ineffectiveness of the units. This paper suggests the manager of a hospital to implement self-assessment technique for measuring the efficiency. The objective of this paper is to measure the efficiency of parallel system in intuitionistic fuzzy environment by introducing self-assessment technique which is the best type of evaluation where the maximum stability of the conditions is considered. The proposed model evaluates the performance of system and processes and determines the reasons of inefficiency in order to reduce the risk of lack of information about decision and deal with vague and complex conditions in real world.

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Authors and Affiliations

  1. Industrial Engineering and Management, Shahrood University of Technology, Shahrood, Iran

    Zahra Ameri & Reza Sheikh

  2. Kishore Bharati Bhagini Nivedita College, Behala, Kolkata, 700060, India

    Shib Sankar Sana

Authors
  1. Zahra Ameri
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  2. Shib Sankar Sana
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  3. Reza Sheikh
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Corresponding author

Correspondence to Shib Sankar Sana.

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The authors do hereby declare that there is no conflict of interests of other works regarding the publication of this paper.

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Communicated by V. Loia.

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Ameri, Z., Sana, S.S. & Sheikh, R. Self-assessment of parallel network systems with intuitionistic fuzzy data: a case study. Soft Comput 23, 12821–12832 (2019). https://doi.org/10.1007/s00500-019-03835-5

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  • DOI: https://doi.org/10.1007/s00500-019-03835-5

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