计算机科学 ›› 2017, Vol. 44 ›› Issue (6): 245-249.doi: 10.11896/j.issn.1002-137X.2017.06.042

• 人工智能 • 上一篇    下一篇

可变多重代价决策粗糙集模型

陈玉金,李续武,贾英杰,张鑫   

  1. 空军工程大学防空反导学院 西安710051,空军工程大学防空反导学院 西安710051,空军工程大学防空反导学院 西安710051,空军工程大学防空反导学院 西安710051
  • 出版日期:2018-11-13 发布日期:2018-11-13

Variable Multi-cost Based Decision Theoretic Rough Sets

CHEN Yu-jin, LI Xu-wu, JIA Ying-jie and ZHANG Xin   

  • Online:2018-11-13 Published:2018-11-13

摘要: 通过分析乐观决策粗糙集和悲观决策粗糙集的不足之处,提出一种δ-可变多重代价矩阵的融合规则,进而建立一种可变多重代价决策粗糙集模型。引入非线性映射sigmoid函数,将可变域拓展到实数域范畴。研究了可变多重代价决策粗糙集、乐观决策粗糙集和悲观决策粗糙集的性质和关系,分析了它们之间的度量和代价关系。实例分析结果验证了该模型的可行性。

关键词: 决策粗糙集,可变精度,多重代价

Abstract: By analyzing the limitations of the optimistic multi-cost decision-theoretic rough set and pessimistic multi-cost decision-theoretic rough set,the fusion rules of variable precision multi-cost matrix was proposed and its decision-theoretic rough set was established.By introducing nonlinear mapping function called sigmoid,variable domain expands to real number domain.Furthermore,the properties and relations of these kinds of rough sets were discussed and the measure and cost relations of them were analyzed.Finally,The experimental results show the effectiveness of the model.

Key words: Decision-theoretic rough set,Variable precision,Multi-cost

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