基于模糊数据挖掘和AHP的虚拟企业伙伴选择研究  

Fuzzy Hierarchical Selection Approach Based on Virtual Enterprise Partner

作　　者：蔚丽峰[1] 高虎明[1] 

机构地区：[1]天津财经大学管理信息系统系,天津300222

出　　处：《科技通报》2012年第6期141-143,共3页Bulletin of Science and Technology

基　　金：国家自然科学基金(10771158);天津自然科学基金(07JCYBTC14300)

摘　　要：提出了以模糊数据挖掘(FDM)与AHP相结合进行合作伙伴选择的模糊层次算法,运用模糊数据挖掘对备选对象进行聚类分析,再运用AHP算法对各类别进行排序。以选择供应商为例对此方法进行了有效性验证。结果表明,该方法提高了AHP算法中权值设置的客观性,避免了由于备选企业多而使其判断矩阵难以通过一致性检验的问题。The fuzzy hierarchical algorithm of the partner selection method is proposed by combining the fuzzy data mining（FDM） and AHP,which uses cluster analysis on optional object by FDM and sorts all kinds by AHP.An example that the virtual enterprise selects suppliers verifies the validity of method.The results show that using this method increases the objectivity in setting the weights of the AHP algorithm and avoids the problem that the judgment matrices are difficult to pass the consistency check because of too many alternative enterprises when using the AHP algorithm.

关 键 词：虚拟企业 伙伴选择 模糊数据挖掘 层次分析 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]