关键词: 实例检索, 检索效用问题, 关联函数, D-HS索引, 模糊数

Abstract: Aiming at the basic contradiction between index accuracy and speed in case retrieval,as well as the problem of retrieval effectiveness caused by the increase of instances,the improvement and fusion research based on correlation function and D-HS index was carried out.The concept of fuzzy correlation function was proposed and the corresponding formula was deduced by combining fuzzy number and correlation function.At the same time,combined with Analytic Hierarchy Process (AHP),the method named unidimensional correlation function combination similarity measurement model was established.The product attribute values were transformed non-linearly based on the Sigmoid function,which improved the ability of data hierarchy division and resolves the problem of low retrieval accuracy caused by non-uniform distribution of attribute values in the traditional D-HS index.The validity and feasibility of the research were verified by integrating the above improved methods and taking the retrieval of vacuum pumps as an example.

Key words: case retrieval, retrieval utility problem, correlation function, D-HS index, fuzzy numbers