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Introducing a Probabilistic-Based Hybrid Model (Fuzzy-BWM-Bayesian Network) to Assess the Quality Index of a Medical Service

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Linguistic Methods Under Fuzzy Information in System Safety and Reliability Analysis

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 414))

Abstract

There is no doubt that decision-making problems are going much more complicated and challenging over time. Therefore, it is essential that a group of decision-makers first understand the advantages and disadvantages of decision-making tools, and second, choose the reliable one and best fit the decision-making problem. This study identified the primary shortages of the typical decision-making methods MCDM (multi-criteria decision-making) like the Best–worst method (BWM) highlighted as (i) confidence level, (ii) dynamic feature, and (iii) continues behavior. Then, a probabilistic-based hybrid model is proposed to deal with shortages of MCDM methods. Integrating a BWM with a Bayesian network provides a potential capability for a group of decision-makers to solve a complex decision-making problem in a much more realistic manner. To show the effectiveness of the proposed model, assessing the hospital service quality is studied. The results indicated the advantages of the proposed hybrid method in dealing with shortages of MCDM tools and reflecting the real case approach.

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Author information

Authors and Affiliations

  1. Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John’s, NL, A1B 3X5, Canada

    Mohammad Yazdi

  2. School of Ocean Technology, Marine Institute Memorial University of Newfoundland, St. John’s, NL, Canada

    Sidum Adumene

  3. Centre for Risk, Integrity and Safety Engineering (C-RISE), Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John’s, NL, A1B 3X5, Canada

    Esmaeil Zarei

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  1. Mohammad Yazdi
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  2. Sidum Adumene
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  3. Esmaeil Zarei
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Editors and Affiliations

  1. Faculty of Engineering and Applied Science, Process Engineering, Memorial University of Newfoundland, Newfoundland and Labrador, St. John’s, NL, Canada

    Mohammad Yazdi

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Yazdi, M., Adumene, S., Zarei, E. (2022). Introducing a Probabilistic-Based Hybrid Model (Fuzzy-BWM-Bayesian Network) to Assess the Quality Index of a Medical Service. In: Yazdi, M. (eds) Linguistic Methods Under Fuzzy Information in System Safety and Reliability Analysis. Studies in Fuzziness and Soft Computing, vol 414. Springer, Cham. https://doi.org/10.1007/978-3-030-93352-4_8

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