An interpretable fuzzy rule-based classification methodology for medical diagnosis
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摘要
ObjectiveThe aim of this paper is to present a novel fuzzy classification framework for the automatic extraction of fuzzy rules from labeled numerical data, for the development of efficient medical diagnosis systems.
论文关键词：Fuzzy rule extraction from data,Hierarchical and flexible input partitioning,Interpretable and scalable knowledge,Medical diagnosis
论文评审过程：Received 14 May 2008, Revised 5 May 2009, Accepted 10 May 2009, Available online 18 June 2009.
论文官网地址：https://doi.org/10.1016/j.artmed.2009.05.003
