摘要
研究属性权重信息完全未知和部分已知,且属性值和对方案的偏好值均为区间直觉模糊数的多属性决策问题.基于偏差极小化的思想,利用区间直觉模糊得分函数构造优化模型,计算属性权重,然后利用区间直觉模糊数加权平均算子对区间直觉模糊信息进行集结,根据得分函数和精确函数对方案进行排序.最后,通过一个实例说明了该方法的合理性与有效性.
The multiple attribute decision making problems are studied with the attribute values and the preference information expressed in the form of interval-valued intuitionistic fuzzy numbers, in which the information on attribute weight is completely unknown or partly known. Based on the minimizing deviation method, an attribute weight is obtained by building the optimization model of score function. Then, the interval-valued intuitionistic fuzzy weighted averaging （IIFWA） operator is utilized to aggregate the interval-valued intuitionistic fuzzy information corresponding to each al- ternation. By using score function and accuracy function,a priority of alternation is established. Fi- nally,a practical example is given to illustrate that the developed method is effective and reasonable.
出处
《内蒙古大学学报（自然科学版）》
CAS
北大核心
2018年第1期52-57,共6页
Journal of Inner Mongolia University：Natural Science Edition
基金
内蒙古自治区高等学校科学研究项目(NJZC16024)
关键词
区间直觉模糊数
偏好信息
得分函数
interval-valued intuitionistic fuzzy number
preference information
score function
