摘要
首先将中心点三角白化权函数中对应于灰类1和灰类s的三角白化权函数分别取为下限测度白化权函数和上限测度白化权函数.这一改进避免了将各聚类指标的取值范围向左、右延拓的困扰.针对灰色聚类系数向量δi的各分量均衡取值或灰色聚类系数向量δi有若干个位于前列的主分量取值相近,难以判定决策对象归属的问题,构建一种新的两阶段灰色综合测度决策模型,以解决灰色聚类系数向量δi的各分量取值趋于均衡或δi有若干个位于前列的主分量取值相近情形下的综合决策问题,并通过应用实例验证了模型的有效性.
Firstly, the triangular whitenization weight function which corresponds to class 1 is changed to a whitenization weight function of lower measure, and the triangular whitenization weight function which corresponds to class s is changed to a whitenization weight function of upper measure. The puzzle of extending the bound of value of each clustering index is avoided due to this betterment. A novel two stages decision model with grey synthetic measure is proposed for the problem that it is difficult to determine the ascription of decision object at the case of each ponderance with equilibrium value of the grey clustering coefficient vector ~ or the case of some front main ponderances with close value of the grey clustering coefficient vector tJi. Finally, two practical examples are presented to verify the effectiveness of the proposed model.
出处
《控制与决策》
EI
CSCD
北大核心
2014年第7期1232-1238,共7页
Control and Decision
基金
国家自然科学基金与英国皇家学会国际合作交流项目(71111130211)
国家自然科学基金项目(90924022
70971064
71171113)
教育部博士点基金项目(20093218120032
200802870020)
国家社会科学基金重大招标项目(10zd&014)
江苏省高等学校优秀科技创新团队基金项目(Y0553-091)
哲学社会科学重点研究基地基金项目
江苏省科技思想库基金项目
国家精品资源共享课程和国家级教学团队建设基金项目(10td128)
关键词
三角白化权函数
灰色综合测度
两阶段决策模型
学科建设项目评估
triangular whitenization weight function
grey synthetic measure
two stages decision model
evaluation ofprojects for subjects constructing
