高级检索

    基于模糊相似优先的实例检索模型

    A CASES INDEXING MODEL BASED ON FUZZY ANALOGY PREFERRED RATIO

    • 摘要: 文中首先分析了现有实例检索策略存在的局限性,提出了一种基于模糊相似优先的实例检索模型,该模型允许实例的属性为一个模糊数,较好地解决了数量型属性的实例检索问题

       

      Abstract: The disadvantages of the present cases indexing models are analysed in the paper.A new cases indexing model based on fuzzy analogy preferred ratio is presented,which allows the attributes of the cases to be fuzzy numbers,thus solving the problem of numerical attribute cases indexing better.

       

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