西华大学学报（自然科学版）2012，Vol.31Issue(1)：32-37,79,7.
集值信息系统基于描述子的优势粗糙集方法
Dominance Rough Set Approach Based on Descriptor
摘要
Abstract
This paper proposes a new approach to knowledge acquisition in the set-valued information system with preference-ordered domains of attributes. First, in such set-valued information system, the concepts of upward and downward descriptors and relative reduction are introduced, and the judgment theorems and discernibility functions associated with upward and downward descriptors are presented as well. Second, the knowledge approximations of upward and downward unions of decision classes are given based upward and downward descriptors in set-valued decision table and induced dominance decision rules from rough approximations. Finally, some numerical examples are employed to substantiate the conceptual arguments.关键词
集值信息系统/描述子/相对约简/优势粗糙集方法Key words
set-valued information system/ descriptor/ relative reduction/ dominance rough set approach分类
信息技术与安全科学引用本文复制引用
刘鹏惠..集值信息系统基于描述子的优势粗糙集方法[J].西华大学学报（自然科学版）,2012,31(1):32-37,79,7.基金项目
四川省教育厅科研基金项目(10ZC058) （10ZC058）
四川省网络智能信息处理高校重点实验室项目(SGXZD1002-10) （SGXZD1002-10）
西华大学无线电信号智能处理重点实验室项目(XZD0818-09) （XZD0818-09）
