重庆邮电大学学报（自然科学版）2011，Vol.23Issue(5)：635-640,6.DOI:10.3979/j.issn.1673-825X.2011.05.027
集值信息系统中基于证据理论的规则提取
Rule extraction in set-valued decision information system based on evidence theory
摘要
Abstract
In order to improve access speed of the optimal generalized decision rules from set-valued information system, this paper use evidence theory as an effective tool in dealing with uncertainty questions. This paper discusses the application of evidence theory in set-valued information systems, defines basic probability assignment functions on similarity relation and dominance relation in set-valued information systems, proposes a new approach to extract optimal generalized decision rules based on basic probability assignment. An example is given to prove the validity of this approach and it also shows the less time complexity of this approach than other methods.关键词
证据理论/集值信息系统/粗糙集/决策规则提取Key words
evidence theory/set-valued information system/rough set/decision rule分类
信息技术与安全科学引用本文复制引用
田冉,王国胤,陶春梅..集值信息系统中基于证据理论的规则提取[J].重庆邮电大学学报（自然科学版）,2011,23(5):635-640,6.基金项目
国家自然科学基金(60573068 （）
60773113) （）
重庆市杰出青年科学基金(2008 BA2041) （2008 BA2041）
重庆市自然科学基金重点项目(2008BA2017) （2008BA2017）
