Journal
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
Volume 11, Issue 9, Pages 2181-2207Publisher
SPRINGER HEIDELBERG
DOI: 10.1007/s13042-020-01109-3
Keywords
Covering-based variable precision fuzzy rough set; Fuzzy neighborhood operator; Fuzzy logical operator; Multi-attribute decision-making; Medicine selection problem
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In medical diagnosis, how to select an optimal medicine from some medicines with similar efficacy values to treat diseases has become common problems between doctors and patients. To solve this problem, we describe it as a multi-attribute decision-making (MADM) in a finite fuzzy covering approximation space. This paper aims to propose two pairs of covering-based variable precision fuzzy rough sets. By combining the proposed rough set model with the VIKOR method, we construct a novel method to medicine selection MADM problems in the context of medical diagnosis. A real-life case study of selecting a proper medicine to treat Alzheimer's disease is given to demonstrate the practicality of our proposed method. Through a comparative analysis and an experimental analysis, we further explore the effectiveness and stability of the established method.
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