基于改进覆盖算法和灰色关联度的案例检索  

Case Retrieval Based on Improved Covering Algorithm and Grey Relational Degree

作　　者：刘双印[1] 徐龙琴[1] 

机构地区：[1]广东海洋大学信息学院,广东湛江524025

出　　处：《计算机工程》2011年第13期169-171,共3页Computer Engineering

基　　金：国家星火计划基金资助项目(2007EA780068);广东省自然科学基金资助项目(7010116);广东省科技计划基金资助项目(2010B020315025);湛江市科技计划基金资助项目(2010C3113011)

摘　　要：传统的案例检索算法较少考虑多影响因子对属性权值的作用及属性间关联性。为此,结合改进覆盖算法和灰色关联度优化案例检索,提出基于多影响因子的案例属性权值自适应算法和改进灰色关联度的案例相似度算法,解决案例中属性权值确定和相似度计算问题。实验结果表明,与多种案例检索算法相比,该算法能够克服传统案例检索的缺陷,有效提高案例检索的质量和效率。Multi-influence factor effect on the attribute weight and the relatedness of its attributes is rarely considered in traditional case searching algorithm.Therefore,this paper proposes an improved case similarity algorithm combined the improved covering algorithm and the grey relational degree to optimize case retrieval.Proposed algorithm obtains the best retrieval case by using the improved grey relational degree case retrieval algorithm whose case attribute weight is figured out by auto-adapted algorithm based on the multi-influence factor.Compared with many other kinds of case searching algorithms,experimental results indicate that proposed algorithm can overcome the disadvantage of the traditional case retrieval algorithm and enhance the quality and the efficiency of the case retrieval effectively

关 键 词：案例检索 相似度计算 覆盖算法 灰色关联度 特征权值自适应算法 

分 类 号：TP182[自动化与计算机技术—控制理论与控制工程]