计算机工程与应用2019，Vol.55Issue(18)：53-60,74,9.DOI:10.3778/j.issn.1002-8331.1806-0201
面向不完备邻域系统的三支决策粒计算方法
Incomplete Neighborhood System Oriented Three-Way Decisions Granular Computing Method
摘要
Abstract
Aiming at the continuous and incompleteness data that due to cost constraints and privacy protection in many applications, and appears, the incomplete neighborhood system oriented three-way decisions granular computing method is proposed. The asymmetric similarity is expanded through the neighborhood concept and neighborhood granularities of the incomplete neighborhood system based on the improved asymmetric similarity relations are calculated. The max con-ditional probability that the object belongs to the decision type is computed on this basis, and objects are classified into the positive, negative and boundary region of each category according to the three-way decision rules. Through experi-mental comparison and analysis, it is further verified that this method can obtain higher classification accuracy and lower misclassification loss, which provides an effective and feasible granular computing method for three-way decisions to ana-lyze and process incomplete neighborhood systems.关键词
粗糙集/三支决策/不完备邻域系统/粒计算Key words
rough sets/three-way decisions/incomplete neighborhood system/granular computing分类
信息技术与安全科学引用本文复制引用
彭莉莎,钱文彬,王映龙,舒文豪..面向不完备邻域系统的三支决策粒计算方法[J].计算机工程与应用,2019,55(18):53-60,74,9.基金项目
国家自然科学基金(No.61502213,No.61662023,No.71461013) （No.61502213,No.61662023,No.71461013）
江西省自然科学基金(No.20161BAB212049) （No.20161BAB212049）
江西省研究生创新专项(No.YC2017-S198). （No.YC2017-S198）
