直觉模糊偏好度量序决策表的近似约简  

Approximation Reduction in Intuitionistic Fuzzy Ordered Decision Information System with Preference Measure

作　　者：张晓燕[1] 刘峥[1] 侯江龙 ZHANG Xiaoyan;LIU Zheng;HOU Jianglong(College of Artificial Intelligence,Southwest University,Chongqing 400715,China)

机构地区：[1]西南大学人工智能学院,重庆400715

出　　处：《西南大学学报（自然科学版）》2022年第9期168-177,共10页Journal of Southwest University(Natural Science Edition)

基　　金：国家自然科学基金项目(61976245);重庆市研究生科研创新项目(CYS22245).

摘　　要：本文在直觉模糊信息系统的基础上引入了决策序关系,并且对隶属度、非隶属度和犹豫度进行加权,根据其权重建立了带偏好度量的直觉模糊序决策信息系统.在此基础之上,研究了该信息系统上、下近似协调集的重要性质,讨论了该信息系统近似约简的判别方法.最后设计了近似约简的具体算法,并通过实例进行实验对比分析,验证了该约简方法的有效性和可行性.In this paper,the decision order relation is introduced into the intuitionistic fuzzy information system.The membership degree,non-membership degree and hesitation degree were weighted,and weight score function was proposed in the system.An intuitionistic fuzzy order decision information system was established with preference measurement according to weight scores function.On this basis,the important properties of the upper and lower approximation consistent sets were studied in the information system.Furthermore,the judgement method of approximate reductions was carefully discussed.Finally,the specific algorithm of approximate reduction was designed,and the experimental analysis was carried out to verify the effectiveness and feasibility of the proposed method.

关 键 词：粗糙集 加权得分函数 近似约简 序决策表 直觉模糊集 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]