Negative Rules and Reduction in Rough Sets Based on Similarity Relation

XU Wei-yan; WEI Min; ZHANG Ming

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Negative Rules and Reduction in Rough Sets Based on Similarity Relation

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- Negative Rules and Reduction in Rough Sets Based on Similarity Relation
- Vol. 29, Issue 11, Pages: 53-57(2012)
- 作者机构：
  
  1. 江苏科技大学数理学院,江苏,镇江,212003
  2. 南京农业大学理学院,江苏,南京,210095
  3. 江苏科技大学机构计算机学院,江苏,镇江,212003
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2012
- 稿件说明：
移动端阅览
徐维艳, 魏敏, 张明. 基于相似关系粗糙集中的否定规则及约简[J]. 微电子学与计算机, 2012, 29(11): 53-57.

XU Wei-yan, WEI Min, ZHANG Ming. Negative Rules and Reduction in Rough Sets Based on Similarity Relation[J]. 2012, 29(11): 53-57.
徐维艳, 魏敏, 张明. 基于相似关系粗糙集中的否定规则及约简[J]. 微电子学与计算机, 2012, 29(11): 53-57. DOI：

XU Wei-yan, WEI Min, ZHANG Ming. Negative Rules and Reduction in Rough Sets Based on Similarity Relation[J]. 2012, 29(11): 53-57. DOI：

摘要

为了从不完备决策信息系统中获取否定决策规则

首次提出了基于相似关系的不相似知识颗粒的概念

研究了如何通过不相似知识粒获取否定决策规则的方法

给出了知识约简的启发式算法

并进行了实例分析

为从不完备信息系统中获取知识提供了新的理论基础与操作手段.

Abstract

To derive the negative rules from the incomplete decision information system

the concept of dissimilarity knowledge granule based on similarity relation is firstly proposed.Moreover

the approach to acquire the certain and uncertain negative rules is presented

and heuristic algorithm of the attribute reduction based on the significant attributes is introduced.Finally

an illustrative example is analyzed.These results are meaningful both in the theory and applications for rules acquisition in incomplete decision systems.

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