A Study of the Genetic-based Partner Evaluation and Selection Models
To significantly improve the performance of partner selection model, a genetic-based partner selection model with fuzzy reasoning is presented. In the model, the genetic algorithm is used to determine an optimal set of parameters due to its good behaviors on global search and quick convergence in early stage. Using heuristic information a genetic-based new fuzzy reasoning mechanism is used to adjust the eigenvalues of the partners features due to its self-adaptability. In the genetic algorithm, a new genetic operation called changing colonies is defined, in which premature colony is replaced by another colony in the search space in order to get the effect of equivalent mandatory mutation for all genes in a specific period This model has been applied to the CRM system in Sanhua Hold Group, a middle-size manufacturing enterprise, and raised the regular delivery rate of raw materials supplied by the selected partners more than 20％.
Partner selection Partner evaluation Feature weight vector Genetic algorithm Fuzzy reasoning
WuLing Ren JianTing Jin ZhiYu Yang
Computer Science and Information Engineering, Zhejiang Gongshang University Hangzhou, Zhejiang, China
国际会议
杭州
英文
705-710
2006-10-12（万方平台首次上网日期，不代表论文的发表时间）