Dominance-based Matrix algorithm for Knowledge Reductions in Incomplete Fuzzy Information System
In this paper，definitions of knowledge granulation and rough entropy are proposed based on dominance relations in incomplete fuzzy information system, and important properties are obtained. It can be found that using the definitions can measure uncertainty of an attribute set in the incomplete fuzzy...
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| Main Authors: | , |
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| Format: | EJournal Article |
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Institute of Advanced Engineering and Science,
2013-12-01.
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| LEADER | 01829 am a22002773u 4500 | ||
|---|---|---|---|
| 001 | ijeecs2920_4048 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Fan, Lixin |e author |
| 100 | 1 | 0 | |e contributor |
| 700 | 1 | 0 | |a Wu, Qiang |e author |
| 245 | 0 | 0 | |a Dominance-based Matrix algorithm for Knowledge Reductions in Incomplete Fuzzy Information System |
| 260 | |b Institute of Advanced Engineering and Science, |c 2013-12-01. | ||
| 520 | |a In this paper，definitions of knowledge granulation and rough entropy are proposed based on dominance relations in incomplete fuzzy information system, and important properties are obtained. It can be found that using the definitions can measure uncertainty of an attribute set in the incomplete fuzzy information systems. A matrix algorithm for attributes reduction is acquired in the systems. An example illustrates the validity of this algorithm, and results of compared with other existing methods show that the algorithm is an efficient tool for data mining. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3725 | ||
| 540 | |a Copyright (c) 2013 Institute of Advanced Engineering and Science | ||
| 540 | |a http://creativecommons.org/licenses/by-nc-nd/4.0 | ||
| 546 | |a eng | ||
| 690 | |a Incomplete Fuzzy Information System; knowledge granulation; rough entropy; dominance matrix; knowledge reduction | ||
| 655 | 7 | |a info:eu-repo/semantics/article |2 local | |
| 655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
| 655 | 7 | |2 local | |
| 786 | 0 | |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 11, No 12: December 2013; 7399-7406 | |
| 786 | 0 | |n 2502-4760 | |
| 786 | 0 | |n 2502-4752 | |
| 786 | 0 | |n 10.11591/ijeecs.v11.i12 | |
| 787 | 0 | |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2920/4048 | |
| 856 | 4 | 1 | |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2920/4048 |z Get fulltext |