摘要
在现有基于属性值更新的动态三支决策模型上,本文充分考虑字符型属性对象在更新过程中属性知识内涵的不确定性以及对象间优异程度的差异,首先定义字符型属性对象的经验值和经验综合评价值的概念来初步刻画对象,再用修正值来表示对象的知识内涵;通过修正值计算出的基于欧氏距离的最优贴近度作为对象的修正综合评价值;然后,给出了字符型属性对象的动态特征的提取方法,建立了动态三支决策模型.最后,通过大量的仿真实验验证了模型的高效性和适用性.
According to the existing dynamic three-way decision model based on the updating of attribute values,in this paper both the uncertainty of attribute knowledge connotation and the difference of excellent degree between objects are fully considered in the process of updating the object.More concretely,both the experience value of character attribute objects and the concept on comprehensive evaluation value of experience are firstly defined to describe the object initially,and the knowledge connotation of the object is expressed by the revised value of character attribute objects.Next,the optimal closeness degree based on the Euclidean distance calculated by the revised value is used as the revised comprehensive evaluation value of the object.Then,the extraction method of dynamic feature on objects with character attributes is presented,and a dynamic three-way decision model is established.Finally,a large number of simulation experiments have been made to validate the efficiency and applicability of the proposed model.
作者
张清华
吕功勋
陈玉洪
谢秦
ZHANG Qing-hua;LU Gong-xun;CHEN Yu-hong;XIE Qin(Chongqing Key Laboratory of Computational Intelligence,Chongqing University of Posts and Telecommunications,Chongqing 400065,China)
出处
《电子学报》
EI
CAS
CSCD
北大核心
2019年第2期344-350,共7页
Acta Electronica Sinica
基金
国家自然科学基金(No.61876201
No.61472056)
重庆市研究生科研创新项目(No.CYS18244)
关键词
智能决策
三支决策
动态更新
粒计算
特征提取
intelligent decision making
three-way decisions
dynamic updating
granular computing
feature extraction
