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An algorithm to select the optimal program based on rough sets

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成果类型:
期刊论文
作者:
Wenjun, Liu;Qing, Guo
通讯作者:
Qing, G.(guoqingwyl@126.com)
作者机构:
[Wenjun, Liu] Department of Mathematics and Computing Science, Changsha University of Science and Technology, Changsha, Hunan 410004, China
[Qing, Guo] School of Mathematics, Hefei University of Technology, Hefei, Anhui 230009, China
语种:
英文
关键词:
Attribute significance;Continuous domain;Minimum distance;Objective weight;Optimal program;Relative deviations;Rough set;Selection algorithm;Weight;Algorithms;Fuzzy clustering;Information systems;Optimization;Rough set theory
期刊:
Journal of Convergence Information Technology
ISSN:
1975-9320
年:
2012
卷:
7
期:
23
页码:
442-449
机构署名:
本校为第一机构
院系归属:
数学与统计学院
摘要:
First, according to fuzzy clustering and rough set theory, an attribute significance algorithm of a continuous domain information system is put forward; then, combining objective weight and subjective bias, we give an algorithm to obtain the comprehensive weight of each attribute; at last, we put forward a method to choose the optimal program according to the minimum distance of weighted relative deviation. During this optimal program selection algorithm, we think over not only the objective weight but also the sub...

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