摘要
采用直觉梯形模糊数刻画专家的评价信息,提出一种新的多属性群决策方法.定义了直觉梯形模糊数的期望值、预期得分、有序加权集成算子和混合集成算子;建立了基于直觉梯形模糊数的多属性群决策模型;通过混合集成算子得到方案的群体综合评估值,根据期望值和预期得分给出群决策结果.实例分析验证了所提出方法的有效性.
Intuitionistic trapezoidal fuzzy number is used to represent the experts＇ evaluation information,and a new method of multi-attribute group decision is proposed.The expectation and expectant score,ordered weighted aggregation operator and hybrid aggregation operator for intuitionistic trapezoidal fuzzy numbers are defined.The model of multi-attribute group decision is constructed based on intuitionistic trapezoidal fuzzy number.The group overall evaluation values of the alternatives are obtained by the hybrid aggregation operator.The results of group decision making are presented according to the expectation and expectant score.The example analysis shows the effectiveness of the method.
出处
《控制与决策》
EI
CSCD
北大核心
2010年第5期773-776,共4页
Control and Decision
基金
国家自然科学基金项目(10626029
70861002)
教育部人文社科项目(09YGC630107)
江西省教育厅科技项目(GJJ10123
GJJ10122)
江西省教育科学"十一五"规划项目(09YB267)
关键词
多属性群决策
直觉梯形模糊数
集成算子
Multi-attribute group decision making
Intuitionistic trapezoidal fuzzy number
Aggregation operator
