Presentation | 2015-01-27 Considerations on a Statistical Reduct Method for the Decision Table Yuichi Kato, Tetsuro Saeki, Shoutaro Mizuno, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Rough Sets theory is widely used as a method for estimating and/or inducing knowledge structure of if-then rules from a decision table after reduct of the table which is constructed by the necessary and sufficient condition attributes to induce the rules. This paper presents results of a retest on reduct ability of the conventional method by the use of simulation data sets after summarizing it briefly and points out the problems of the conventional one. We then propose a new reduct method based on a statistical view. The validity and usefulness of the method is confirmed by applying to the simulation data sets. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | indiscernibility / if-then rule / simulation experiment / reduct / statistical test |
Paper # | MSS2014-85,SS2014-49 |
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Committee | MSS |
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Conference Date | 2015/1/19(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Mathematical Systems Science and its applications(MSS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Considerations on a Statistical Reduct Method for the Decision Table |
Sub Title (in English) | |
Keyword(1) | indiscernibility |
Keyword(2) | if-then rule |
Keyword(3) | simulation experiment |
Keyword(4) | reduct |
Keyword(5) | statistical test |
1st Author's Name | Yuichi Kato |
1st Author's Affiliation | Interdisciplinary Faculty of Science and Engineering, Shimane University() |
2nd Author's Name | Tetsuro Saeki |
2nd Author's Affiliation | Faculty of Engineering, Yamaguchi University |
3rd Author's Name | Shoutaro Mizuno |
3rd Author's Affiliation | Interdisciplinary Faculty of Science and Engineering, Shimane University |
Date | 2015-01-27 |
Paper # | MSS2014-85,SS2014-49 |
Volume (vol) | vol.114 |
Number (no) | 415 |
Page | pp.pp.- |
#Pages | 6 |
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