计算机科学与探索2011，Vol.5Issue(2)：155-160,6.DOI:10.3778/j.issn.1673-9418.2011.02.005
决策风险最小化属性约简
Attribute Reduction Based on Minimum Decision Cost
摘要
Abstract
Attribute reductions in decision-theoretic rough set model are generally defined based on keeping the positive region unchanged or the non-negative region unchanged.Because the positive region and non-negative region are preferred to the negative region by people in these definitions, it is difficult to evaluate and interpret this kind of subjective reductions.In decision-theoretic rough set model, all regions are determined according to the Bayesian decision procedure, and the minimum cost is considered as the principle in the decision procedure.Based on the minimum cost of decisions for the decision table, an attribute reduction is proposed.The cost of decisions which are decided based on the reduction is minimal.The definition is easier to understand and interpret than those region-based reductions.关键词
决策粗糙集模型/属性约简/风险最小化分类
信息技术与安全科学引用本文复制引用
贾修一,商琳,陈家骏..决策风险最小化属性约简[J].计算机科学与探索,2011,5(2):155-160,6.基金项目
The National Grand Basic Research 973 Program of China under Grant No.2010CB327903(国家重点基础研究发展规划(973)) （国家重点基础研究发展规划(973）
the Natural Science Foundation of Jiangsu Province of China under Grant No.BK2009233(江苏省自然科学基金). （江苏省自然科学基金）
