摘要
为了扩展马田系统在模糊积分多属性决策领域中的应用,引入区间样本描述统计量,将传统的实数型马田系统改进为区间型马田系统,并在此基础上提出一种基于区间数据的模糊测度计算方法.为了便于集成区间属性值,定义区间Choquet模糊积分算子.实例分析表明,所提方法能够解决属性值为区间数据的模糊积分多属性决策问题,验证了该方法的可行性.
To expand the application of the Mahalanobis-Taguchi system（MTS） in fuzzy integral multi-attribute decision making, the descriptive statistics of the interval sample is introduced into the MTS, and the interval Mahalanobis-Taguchi system（IMTS） is established. An identification method of fuzzy measures by IMTS is provided. The interval fuzzy Choquet operator is defined to integrate interval data. Finally, an illustrative example is given to demonstrate that the proposed method is feasible and can solve the fuzzy integral multi-attribute decision making problems based on interval data.
出处
《控制与决策》
EI
CSCD
北大核心
2016年第1期180-186,共7页
Control and Decision
基金
国家自然科学基金项目(71271114
71303004)
教育部人文社会科学青年基金项目(12YJK630005)
