基于三支决策理论的条件属性权重构造方法

计算机科学 ›› 2015, Vol. 42 ›› Issue (8): 265-268.

基于三支决策理论的条件属性权重构造方法

薛占熬,朱泰隆,薛天宇,刘杰

河南师范大学计算机与信息工程学院新乡453007智慧商务与物联网技术河南省工程实验室新乡453007,河南师范大学计算机与信息工程学院新乡453007智慧商务与物联网技术河南省工程实验室新乡453007,河南师范大学计算机与信息工程学院新乡453007智慧商务与物联网技术河南省工程实验室新乡453007,河南师范大学计算机与信息工程学院新乡453007智慧商务与物联网技术河南省工程实验室新乡453007

出版日期:2018-11-14 发布日期:2018-11-14
基金资助:
本文受国家自然科学基金计划项目(61273018),河南省基础与前沿技术研究计划项目(132300410174),河南省教育厅计划项目(14A520082),新乡市重点科技攻关计划项目(ZG14020)资助

Methodology of Attribute Weights Acquisition Based on Three-way Decision Theory

XUE Zhan-ao, ZHU Tai-long, XUE Tian-yu and LIU Jie

Online:2018-11-14 Published:2018-11-14

摘要/Abstract

摘要： 针对传统决策过程中权重规则确定的主观性和参数数值计算的不确定性问题,在粗糙集和三支决策理论的基础上,对条件属性权重构造方法进行了研究。重新定义了属性确定度和属性约简度,提出了一种属性权重构造方法,通过实例将该方法与其它条件属性权重构造方法进行了分析比较,证明了其有效性。该方法基于数据本身,不需要先验信息,从客观的角度对属性进行判断,决策者通过该方法可以得到更加合理的权重分配,做出符合实际的决策。该论文对研究属性权重分配问题,具有一定的理论价值。

关键词: 三支决策理论,粗糙集,属性,权重,决策

Abstract: Aiming at the problems of subjectivity in weight rules and uncertainty in the parameter value through traditional decision-making process,the methodology of attribute weights acquisition was studied based on the rough set and three-way decision theory.Two definitions of the attribute confirmation and attribute reduction were redefined respectively,a new method of attribute weights aquisition was presented and also compared with other methods by example,and then the efficiency of the presented method was demonstrated.This method is objective evaluation of attribute,which is based on data and without prior information.Using this method,decision maker can make decision practically and get the more reasonable weight distribution.This thesis has some value of theory about the study of attribute weight.

Key words: Three-way decision theory,Rough set,Attribute,Weight,Decision

薛占熬,朱泰隆,薛天宇,刘杰. 基于三支决策理论的条件属性权重构造方法[J]. 计算机科学, 2015, 42(8): 265-268. https://doi.org/

XUE Zhan-ao, ZHU Tai-long, XUE Tian-yu and LIU Jie. Methodology of Attribute Weights Acquisition Based on Three-way Decision Theory[J]. Computer Science, 2015, 42(8): 265-268. https://doi.org/

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