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Fuzzy DEA-based classifier and its applications in healthcare management

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  • Ai-bing Ji

    (Hebei University)

  • Yanhua Qiao

    (Hebei University)

  • Chang Liu

    (Hebei University)

Abstract

Nonlinear fuzzy classification models have better classification performance than linear fuzzy classifiers. In many nonlinear fuzzy classification problems, piecewise-linear fuzzy discriminant functions can approximate nonlinear fuzzy discriminant functions. In this paper, we first build fuzzy classifier based on data envelopment analysis (DEA) for incremental separable fuzzy training data, which can be widely applied in the healthcare management with fuzzy attributes, then we apply the proposed fuzzy DEA-based classifier in the diagnosis of Coronary with fuzzy symptoms and the classification of breast cancer dataset with fuzzy disturbance. Numerical experiments show the proposed fuzzy DEA-based classifier is accurate and robust.

Suggested Citation

  • Ai-bing Ji & Yanhua Qiao & Chang Liu, 2019. "Fuzzy DEA-based classifier and its applications in healthcare management," Health Care Management Science, Springer, vol. 22(3), pages 560-568, September.
    • Handle: RePEc:kap:hcarem:v:22:y:2019:i:3:d:10.1007_s10729-019-09477-1
    DOI: 10.1007/s10729-019-09477-1
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    References listed on IDEAS

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    Cited by:

    1. Matthias Klumpp & Dominic Loske & Silvio Bicciato, 2022. "COVID-19 health policy evaluation: integrating health and economic perspectives with a data envelopment analysis approach," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(8), pages 1263-1285, November.
    2. Mustafa Jahangoshai Rezaee & Abuzar Karimdadi & Hamidreza Izadbakhsh, 2019. "Road map for progress and attractiveness of Iranian hospitals by integrating self-organizing map and context-dependent DEA," Health Care Management Science, Springer, vol. 22(3), pages 410-436, September.
    3. Pejman Peykani & Farhad Hosseinzadeh Lotfi & Seyed Jafar Sadjadi & Ali Ebrahimnejad & Emran Mohammadi, 2022. "Fuzzy chance-constrained data envelopment analysis: a structured literature review, current trends, and future directions," Fuzzy Optimization and Decision Making, Springer, vol. 21(2), pages 197-261, June.

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