[1]杨成福 舒兰.基于容差关系的不完备决策系统属性约简算法[J].计算机技术与发展,2006,(09):68-69.
 YANG Cheng-fu,SHU Lan.Attribute Reduction Algorithm of Incomplete Decision System Based on Tolerant Relation[J].,2006,(09):68-69.
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基于容差关系的不完备决策系统属性约简算法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2006年09期
页码:
68-69
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
Attribute Reduction Algorithm of Incomplete Decision System Based on Tolerant Relation
文章编号:
1673-629X(2006)09-0068-02
作者:
杨成福12 舒兰1
[1]电子科技大学应用数学学院[2]河西学院数学系
Author(s):
YANG Cheng-fu SHU Lan
[1]Coll. of Applied Mathematics, Univ. of Electronic Sci. and Techn[2]Dept. of Mathematics of Hexi Univ
关键词:
正域属性约简粗糙集不完备决策系统
Keywords:
positive- region attribute reduction rough set incomplete decision system
分类号:
TP18
文献标志码:
A
摘要:
给出容差关系下不完备决策系统中属性相对约简的定义,提出一种基于决策属性相对条件属性正域的求取属性约简算法。该算法以相对正域为迭代准则,以所有条件属性为初始约简集合,通过逐步缩减来求取约简,保证了所求取的约简对问题的分类能力不会减弱。同时给出该算法的时间复杂度分析,并举例验证了该算法的有效性和实用性
Abstract:
Give definition of attribute relative reduction of the incomplete decision system in the tolerant relation. An algorithm for finding attribute reduction based on positive region of decision attribute relative to condition attribute is presented. With all condition attributes as the initial reduction, this algorithm takes relative positive - region as the iterative criterion to assure that classification ability of the resulted reduction does not decline. In the same time, the time complexity of this algorithm is analyzed, and the effectiveness and practicability of this algorithm are verified by the example

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备注/Memo

备注/Memo:
电子科技大学青年科技基金资助项目杨成福(1966-),男,甘肃武威人,硕士研究生,研究方向为粗糙集理论;舒兰,教授,博士生导师,研究方向为粗糙集理论、模糊信息处理技术
更新日期/Last Update: 1900-01-01