摘要
将基于案例的推理方法运用于动态联盟伙伴企业选择与优化系统中,建立了伙伴企业选择系统的模型,具体讨论了方案库和评价结果库的建立,提出了基于灰色关联理论和模糊集理论相结合的相似度计算方法,从而可以准确地检索到相近案例,提高了伙伴企业选择的效率和准确性。
In this paper, we apply CBR （case -based reasoning） method to the partner search and optimizing system, and establish a model of partner choice system. The way of establishing case and its evaluation value databases is discussed. A method of calculating the similarity degree based on grey - relational theory and fuzzy -set theory is put forward. Thus, similar cases can be found out accurately, thus the efficiency and accuracy of partner enterprises choosing are promoted.
出处
《制造技术与机床》
CSCD
北大核心
2006年第6期85-88,共4页
Manufacturing Technology & Machine Tool
基金
国家863高技术研究发展计划资助项目(2003AA414013
2004AA414070)
关键词
动态联盟
伙伴搜索
案例推理
灰色关联度
Dynamic Alliance
Partner Search
Case -based Reasoning C CBRI
Grey Relational Degree
