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A Novel Interval Three-Way Concept Lattice Model with Its Application in Medical Diagnosis

Author

Listed:
  • Junhua Hu

    (School of Business, Central South University, Changsha 410083, China)

  • Dan Chen

    (School of Business, Central South University, Changsha 410083, China)

  • Pei Liang

    (School of Business, Central South University, Changsha 410083, China)

Abstract

Medical diagnosis has been recognized as one of the key processes in clinical medicine, which determines diseases from some given symptoms. Nonetheless, previous works about medical diagnosis have some drawbacks because medical data are usually fuzzy, uncertain, incomplete and imprecise. To achieve the optimal medical diagnosis decision by reducing cost and enhancing accuracy, this paper develops a new method named interval three-way concept lattice model. Firstly, we redefine the decision rules and metric function of three-way decision based on interval concept lattice. Secondly, we build a visualized hierarchical structure of relationship between concepts through interval concept construction algorithm which helps us to make decision preferably and clearly. Finally, we establish a dynamic strategy optimization model for medical diagnosis decision making. In addition, a medical case demonstrates the effectiveness and feasibility of this proposed model.

Suggested Citation

  • Junhua Hu & Dan Chen & Pei Liang, 2019. "A Novel Interval Three-Way Concept Lattice Model with Its Application in Medical Diagnosis," Mathematics, MDPI, vol. 7(1), pages 1-14, January.
    • Handle: RePEc:gam:jmathe:v:7:y:2019:i:1:p:103-:d:199069
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    References listed on IDEAS

    as
    1. Singh, Prem Kumar, 2018. "Complex neutrosophic concept lattice and its applications to air quality analysis," Chaos, Solitons & Fractals, Elsevier, vol. 109(C), pages 206-213.
    2. Haidong Zhang & Lan Shu & Shilong Liao, 2014. "Generalized Trapezoidal Fuzzy Soft Set and Its Application in Medical Diagnosis," Journal of Applied Mathematics, Hindawi, vol. 2014, pages 1-12, April.
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    Cited by:

    1. Valentino Santucci & Alfredo Milani & Fabio Caraffini, 2019. "An Optimisation-Driven Prediction Method for Automated Diagnosis and Prognosis," Mathematics, MDPI, vol. 7(11), pages 1-20, November.
    2. Taisheng Zeng & Huilai Zhi & Yinan Li & Daxin Zhu & Jianbing Xiahou, 2024. "Three-Valued Concept Analysis for 2 R Formal Contexts," Mathematics, MDPI, vol. 12(19), pages 1-17, September.
    3. Wajid Ali & Tanzeela Shaheen & Iftikhar Ul Haq & Hamza Ghazanfar Toor & Tmader Alballa & Hamiden Abd El-Wahed Khalifa, 2023. "A Novel Interval-Valued Decision Theoretic Rough Set Model with Intuitionistic Fuzzy Numbers Based on Power Aggregation Operators and Their Application in Medical Diagnosis," Mathematics, MDPI, vol. 11(19), pages 1-18, October.

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