摘要
为提高数据决策的准确性,结合区间直觉模糊集理论,对模糊多目标群决策算法进行优化。并针对部分权重信息并不一定完整的情况,利用迭代计算的方式向最优决策逐步逼近。实例显示,该算法具有时间复杂度低、便于计算机实现等特点,并说明了算法的有效性和准确性。
In order to improve the accuracy of data decision making,an optimization approach was proposed for the algorithm of multi-objectives group decision making.By the interval-valued intuitionistic fuzzy set theory,the optimization was approached by the method of iterative computation gradually in the situation that the part weight information was incomplete usually.Results of the simulation indicate that the algorithm has low time complexity,and can be implemented in the computer easily;moreover,it also shows the effectiveness and accuracy of the algorithm.
出处
《计算机应用》
CSCD
北大核心
2013年第4期967-970,共4页
journal of Computer Applications
基金
河北省科学技术研究与发展计划项目(12226508)
河北师范大学科研基金资助项目(L2010Q03)
关键词
区间直觉模糊集
模糊群多目标决策
迭代
优属度
权重
interval-valued intuitionistic fuzzy set
multi-objective fuzzy-group decision making
iteration
optimal membership degree
weight