scholarly journals Attribute Reduction Algorithm for Information System without Decision Attributes

2012 ◽  
Author(s):  
Hong-Chan Li ◽  
Hao-Dong Zhu
Keyword(s):  
Information System ◽  
Attribute Reduction ◽  
Reduction Algorithm ◽  
Decision Attributes

Improvement of Calculation of Granulation Reduction and Application

2013 ◽  
Vol 427-429 ◽  
pp. 2565-2567
Author(s):  
Qiu Na Zhang ◽  
Ai Min Yang ◽  
Na Ji ◽  
Wen Jing Zhao
Keyword(s):  
Information System ◽  
Attribute Reduction ◽  
Reduction Algorithm ◽  
Theoretical Significance

This paper presents a new reduction algorithm of granularity - reduction algorithm of granularity of Property resolution. This result has certain theoretical significance and application value in establish the granularity in the information system and attribute reduction. And it gives its application of whether suffering diabetes.

A Study of Off-Line Handwritten Chinese Character Recognition with Optimized Decision and Iteration Based on Rough Set and the Granular Theorem

2012 ◽  
Vol 433-440 ◽  
pp. 1715-1722 ◽  
Author(s):  
Jian Ping Wang ◽  
Ke Qiong Chen ◽  
Jin Ling Wang ◽  
Cheng Hui Zhu
Keyword(s):  
Rough Set ◽  
Character Recognition ◽  
Chinese Character ◽  
Attribute Reduction ◽  
High Rate ◽  
Reduction Algorithm ◽  
Chinese Character Recognition ◽  
Handwritten Chinese Character Recognition ◽  
Decision Attributes ◽  
Variable Precision Rough Set

The decision information system of off-line handwritten Chinese character recognition based on variable precision rough set is constructed in this paper. The granular variable in granular theorem is introduced, the granular entropy of feature attributes knowledge and decision attributes knowledge and relative granular entropy is defined. The attribute reduction algorithm with several features is given out. Moreover, the recognition structure which has three-tier classifier based on rough set iterated several times is designed. And it resolved the problem of high rate of rejection and coincident code with a single classifier and recognition only once effectively. The experiment results show that the method is feasible and effective.

Application of an attribute reduction algorithm based on discernibility matrix in PBNM

2014 ◽  
Author(s):  
Shuo Feng ◽  
Haiying Chu ◽  
Xuyang Wang ◽  
Yuanka Liang ◽  
Xianwei Shi ◽  
...  
Keyword(s):  
Attribute Reduction ◽  
Reduction Algorithm ◽  
Discernibility Matrix
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