Rough Set Model for Cognitive Expectation Embedded Interval-Valued Decision Systems

作     者：DAI Jianhua LIU Zhenbo HU Hu SHI Hong 

作者机构：School of Computer Science and Technology Tianjin University College of Computer Science and Technology Zhejiang University 

出 版 物：《Chinese Journal of Electronics》 (电子学报(英文))

年 卷 期：2018年第27卷第4期

页      面：675-679页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 080202[工学-机械电子工程] 08[工学] 0804[工学-仪器科学与技术] 0835[工学-软件工程] 0802[工学-机械工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the National Natural Science Foundation of China(No.61473259,No.61502335,No.61070074,No.60703038) the National Science & Technology Support Program of China(No.2015BAK26B00,No.2015BAK26B02,No.2015BAK26B01) the Zhejiang Provincial Natural Science Foundation(No.LY14F020019) the PEIYANG Young Scholars Program of Tianjin University(No.2016XRX-0001) 

主　　题：Rough set Interval-valued decision system with cognitive expectation Attribute reduction 

摘      要：Interval-valued information system is a kind of knowledge representation model for uncertain information. An interval-valued attribute has an expectation by experience or background knowledge, called cognitive expectation. There are few studies aiming at intervalvalued attributes with cognitive expectations. We propose the concept of Interval-valued decision system with expectations(IDSE). A new dominance relation based on the distances between expectations and interval values is constructed. Based on the constructed dominance relation, a rough set model for IDSE is investigated. Attribute reduction in IDSE is also examined by using discernibility matrices and discernibility functions.