摘要
通过将区间样本的统计量引入马田系统的计算中,拓宽了马田系统在模糊积分领域中的应用,将传统的马田系统与区间样本数据进行结合形成新型的区间型马田系统,并以此为基础应用一种区间型的模糊数据的计算方法,便于对区间属性值的集成,对区间Choquet的模糊积分算子进行定义。并且通过对制造企业的质量管理方面实际的案例证明该方法对于区间数据的模糊积分的多属性的决策问题的解决具有非常有效的作用,同时演奏了该方法的实用性和可行性。
The statistics of interval samples are introduced into the calculation of Martian system, which widens the application of Martian system to the field of fuzzy integral. Therefore, this paper combines the traditional mulberry field system with the interval sample data to form a new interval type mulberry field system, and on this basis, applies an interval fuzzy data calculation method to facilitate the integration of the interval attribute value. The fuzzy integral operator of interval Choquet is defined, and it is proved that this method is very effective in solving the multi-attribute decision problem of fuzzy integral of interval data through the actual case of quality management in manufacturing enterprises. At the same time, the practicability and feasibility of the method are proved.
作者
初铭畅
马静
CHU Ming-chang;MA Jing(School of Economics, Liaoning University of Technology, Jinzhou 121001, China)
出处
《辽宁工业大学学报(自然科学版)》
2018年第3期206-210,共5页
Journal of Liaoning University of Technology(Natural Science Edition)