摘要
为解决大规模的网络制造联盟合作伙伴选择问题,在建立该问题数学模型的基础上通过分析引入遗传算法和模糊决策理论,提出一种分阶段的伙伴选择算法:通过遗传算法求解模型缩小选择的范围,利用遗传算法的解通过模糊决策考虑多个影响因素进行最后决策.对于该方法给出了具体的求解步骤,并用算例说明这种方法的可行性.这种分阶段的伙伴选择算法充分利用了数学的工具和决策者的经验,提高了决策的科学性和合理性.
To resolve the problem of partner selection in the large extended enterprise, based on the mathematical model a novel algorithm was presented by introduced GAS and theory of fuzzy decision-making. At the first stage, GAS was used to solve and reduce the range of partners. Based on the result of GAS the decision can be finally decided using the theory of fussy decision-making and considering the other factors. The detailed steps were introduced to explain the process of this algorithm, and an example was given to prove the feasibility. It can be used to make decision by the knowledge of mathematics and experience rationally.
出处
《系统工程理论与实践》
EI
CSCD
北大核心
2007年第1期169-174,共6页
Systems Engineering-Theory & Practice
基金
制造业信息化关键技术攻关及应用工程
国家攻关项目(2001BA201A56)
关键词
模型
遗传算法
模糊决策
伙伴选择
model
GAS
fussy decision-making
partner selection
