摘要
在合作创新过程中,针对区间数的评价信息,提出一种基于遗传算法的模糊聚类方法。考虑方案各准则的权重、准则值为区间数,同时要求对聚类中心各准则值有严格序关系。然后结合隶属度变量构建优化模型,利用具有动态惩罚函数的遗传算法求解,计算得到各方案的所属类别。实例证明了该方法的有效性和可靠性。
In the process of cooperation innovation, a fuzzy c-mean method base on genetic algorithms with the interval number is proposed. The weight of criterion and the value of the criterion with interval number is considered, meanwhile, the criterion value of each cluster is required for serious preface. Then optimization model with the membership degree is constructed. It is solved by using genetic algorithms with dynamical castigatory function. And the given example proves the method is reasonable and effective.
出处
《系统工程》
CSCD
北大核心
2007年第3期56-60,共5页
Systems Engineering
关键词
钢铁企业
合作创新
模糊聚类
区间数
遗传算法
Steel Enterprise
Cooperation Innovation
Fuzzy Cluster
Interval Number
Generate Algorithm
