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基于实例推理的企业动态联盟伙伴选择与优化模型
引用本文:王斌,谢庆生. 基于实例推理的企业动态联盟伙伴选择与优化模型[J]. 计算机应用, 2006, 26(3): 717-0719
作者姓名:王斌  谢庆生
作者单位:贵州大学CAD/CIMS工程技术中心,贵州,贵阳,550003;盐城工学院,机电学院,江苏,盐城,224001;贵州大学CAD/CIMS工程技术中心,贵州,贵阳,550003
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。

关 键 词:动态联盟  伙伴搜索  案例推理  灰色关联度
文章编号:1001-9081(2006)03-0717-03
收稿时间:2005-09-16
修稿时间:2005-09-162005-12-06

Partner choosing and optimizing model of dynamic alliance based on case-based reasoning
WANG Bin,XIE Qing-sheng. Partner choosing and optimizing model of dynamic alliance based on case-based reasoning[J]. Journal of Computer Applications, 2006, 26(3): 717-0719
Authors:WANG Bin  XIE Qing-sheng
Affiliation:1. CAD/CIMS Institute, Guizhou University, Guiyang Guizhou 550003, China; 2. School of Mechanical Engineering, Yancheng Institute of Technology, Yancheng Jiangsu 224002, China
Abstract:
CBR (case-based reasoning) method was applied to the partner search and optimizing system, and a model of partner choice system was established. The method of establishing case and its evaluation value databases was discussed. A method of calculating the similarity degree based on grey-relational theory and fuzzy-set theory was put forward. Thus, similar cases can be found out accurately, and the efficiency and accuracy of partner enterprises choice can be promoted.
Keywords:dynamic alliance  partner search  case-based reasoning (CBR)  grey-relational degree
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