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机构地区:[1]中国地质大学(武汉)管理学院
出 处:《管理学报》2008年第2期222-227,共6页Chinese Journal of Management
基 金:国家自然科学基金资助项目(70172034;70672064);教育部人文社会科学基金资助项目(06JA630068);武汉市科技计划资助项目(200770834321)
摘 要:根据流程案例的特点,从行业、业务和流程信息化程度3个方面构建三级索引框架,从而能够有效地对流程案例进行分类存储、快速检索与匹配。三级索引机制的核心是基于企业流程信息化程度的第三级索引构建,利用基于人工免疫的aiNet聚类方法的噪声忍耐、自组织、记忆性以及能够有效避免局部最优等方面的特点,对流程案例进行第三级分类,将人工免疫的抗体作为聚类中心,形成流程案例的第三级索引。最后利用105个样本对该三级索引机制的构建过程进行了实证。Establishment of indexing framework of business process case-base is important in creating a processes case-base, searching and matching the process cases, improving the quality of casematching and providing scientific decision support for case-based reasoning (CBR). Based on the features of process cases,a three-level indexing framework for business process case-base is proposed, which consists of industry level, business one and process informatization one, to realize process case classification storage, quick retrieval and matching. The process informatization level is the core of the three-level indexing framework, and the process case clustering is realized by aiNet, which is well known in the Artificial Immune System (AIS). Taking advantage of AIS in noise tolerance, self-organization, and memory and avoiding local optimization, the artificial immune antibodies construct a three-level indexing that forms the cluster centers of the process cases. The procedure of constructing the three-level index in business process case-base was researched empirically by using 105 enterprise samples.
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