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Fuzzy decision-making framework for treatment selection based on the combined QUALIFLEX–TODIM method

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  • Pu Ji
  • Hong-yu Zhang
  • Jian-qiang Wang

Abstract

Treatment selection is a multi-criteria decision-making problem of significant concern in the medical field. In this study, a fuzzy decision-making framework is established for treatment selection. The framework mitigates information loss by introducing single-valued trapezoidal neutrosophic numbers to denote evaluation information. Treatment selection has multiple criteria that remarkably exceed the alternatives. In consideration of this characteristic, the framework utilises the idea of the qualitative flexible multiple criteria method. Furthermore, it considers the risk-averse behaviour of a decision maker by employing a concordance index based on TODIM (an acronym in Portuguese of interactive and multi-criteria decision-making) method. A sensitivity analysis is performed to illustrate the robustness of the framework. Finally, a comparative analysis is conducted to compare the framework with several extant methods. Results indicate the advantages of the framework and its better performance compared with the extant methods.

Suggested Citation

  • Pu Ji & Hong-yu Zhang & Jian-qiang Wang, 2017. "Fuzzy decision-making framework for treatment selection based on the combined QUALIFLEX–TODIM method," International Journal of Systems Science, Taylor & Francis Journals, vol. 48(14), pages 3072-3086, October.
    • Handle: RePEc:taf:tsysxx:v:48:y:2017:i:14:p:3072-3086
    DOI: 10.1080/00207721.2017.1365968
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    5. Xiaoli Tian & Zeshui Xu & Xinxin Wang & Jing Gu & Fawaz E. Alsaadi, 2019. "Decision Models to Find a Promising Start-Up Firm with Qualiflex under Probabilistic Linguistic Circumstance," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(04), pages 1379-1402, July.
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    7. Llamazares, Bonifacio, 2018. "An analysis of the generalized TODIM method," European Journal of Operational Research, Elsevier, vol. 269(3), pages 1041-1049.
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