智能系统学报2018，Vol.13Issue(3)：469-478,10.DOI:10.11992/tis.201710011
不协调区间值决策系统的最大分布约简
Maximum distribution reduction in inconsistent interval-valued decision systems
摘要
Abstract
Distribution reduction is one of the important methods of attribute reduction as it can guarantee consistent confidence coefficients of all decision rules before and after reduction.Maximum distributed reduction keeps the unchanged rule with the highest confidence coefficient in the decision system,and extracting a rule with a high confidence coefficient has a wide application value.This paper introduces the concept of maximum confidence coefficient for inconsistent interval-valued decision systems based on compatibility relation and proposes a maximum distribution reduction algorithm based on discernibility matrix,whereby a discernibility matrix is constructed to keep the unchanged maximum distribution.The relationship between the maximum distribution reduction algorithm in inconsistent interval-valued decision systems and other reduction algorithms was analyzed.Experiments were performed using UCI standard data sets,and the proposed algorithm proved to be effective.关键词
分布式约简/最大分布约简/置信度/相容关系/可辨识矩阵/不协调/区间值/决策系统Key words
distributed reduction/maximum distributed reduction/confidence coefficient/compatibility relation/discernibility matrix/inharmonious/interval-valued/decision system分类
信息技术与安全科学引用本文复制引用
尹继亮,张楠,童向荣,陈曼如..不协调区间值决策系统的最大分布约简[J].智能系统学报,2018,13(3):469-478,10.基金项目
国家自然科学基金项目(61403329,61572418,61702439,61572419,61502410) （61403329,61572418,61702439,61572419,61502410）
山东省自然科学基金项目(ZR2016FM42) （ZR2016FM42）
烟台大学研究生科技创新基金项目(YDZD1807). （YDZD1807）
