哈尔滨工程大学学报2012，Vol.33Issue(6)：730-734,5.DOI:10.3969/j.issn.1006-7043.201107057
粗糙集与遗传算法的虚拟企业伙伴选择
Virtual enterprise partner selection based on a rough set theory and adaptive genetic algorithm
摘要
Abstract
In order to solve the problems of the traditional weight designing method, including depending too much on subjective experience, having too many decision factors, a great deal of information and too many candidate tender partners, etc. , this paper proposed a virtual enterprise partner selection algorithm based on a rough set theory and adaptive genetic algorithm. It used the knowledge entropy of rough set models to establish a decision system for the potential partners. The algorithm could obtain the objective weights without any prior knowledge. Meanwhile, an adaptive genetic algorithm in the model of virtual enterprise partner selection was applied. The feasibility and effectiveness of the algorithm were finally confirmed by the experimental comparison of the proposed algorithm and the standard genetic algorithm.关键词
虚拟企业/粗糙集/知识熵/自适应遗传算法/伙伴选择Key words
virtual enterprise/rough set/ knowledge entropy/ adaptive genetic algorithm/ partner selection分类
数理科学引用本文复制引用
贾瑞玉,潘雯雯,刘范范..粗糙集与遗传算法的虚拟企业伙伴选择[J].哈尔滨工程大学学报,2012,33(6):730-734,5.基金项目
安徽省教育厅自然科学研究重点资助项目(2011A006). （2011A006）
