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Content Provider | IEEE Xplore Digital Library |
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Author | Jian Liu Zhili Huang Shunxiang Wu Ruiyi Chen |
Copyright Year | 2008 |
Description | Author affiliation: Dept. of Autom., Xiamen Univ., Xiamen (Jian Liu; Zhili Huang; Shunxiang Wu; Ruiyi Chen) |
Abstract | This paper put the rough set methodology based on the information table disposal to expand the dual (binary) relations described by the neighborhood system. To make full use of logic operations including AND operation by-bit, XOR operation by-bit and NOR operation by-bit, gains the certain and uncertain information among the various decision-making factors. The use of knowledge related with Grey system theory, establishes their mathematical model for decision making and data mining, according to the principle of the priority of certain information in decision-making and the ambiguity degree from small to big. At last, a new method for data mining is proposed by the use of combining grey system theory and Rough set. |
Starting Page | 777 |
Ending Page | 781 |
File Size | 337575 |
Page Count | 5 |
File Format | |
ISBN | 9780769533575 |
DOI | 10.1109/ICICTA.2008.22 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2008-10-20 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Uncertainty Automation Decision making Control systems Data mining ambiguity degree Rough set Fuzzy sets Image analysis Algebra Rough sets grey system dual relations Logic |
Content Type | Text |
Resource Type | Article |
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