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Titlebook: New Directions in Rough Sets, Data Mining, and Granular-Soft Computing; 7th International Wo Ning Zhong,Andrzej Skowron,Setsuo Ohsuga Confe

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發(fā)表于 2025-3-30 08:16:52 | 只看該作者
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發(fā)表于 2025-3-31 00:46:33 | 只看該作者
Rough Set Analysis of Electrostimulation Test Database for the Prediction of Post-Operative Profits nsists in testing deaf people by speech signal delivered through a ball shaped microelectrode connected to the modulated current source and attached to the promontory area. The electric current delivered to the ball shaped electrode is modulated with real speech signal which is transposed downwards
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發(fā)表于 2025-3-31 02:03:02 | 只看該作者
A Rough Set-Based Approach to Text Classificationses a technique using Rough Set Theory to alleviate this situation. Given corpora of documents and a training set of examples of classified documents, the technique locates a minimal set of co-ordinate keywords to distinguish between classes of documents, reducing the dimensionality of the keyword v
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Handling Missing Values in Rough Set Analysis of Multi-attribute and Multi-criteria Decision Problemd by a set of decision attributes. In practical applications, however, the data table is often not complete because some data are missing. To deal with this case, we propose an extension of the rough set methodology. The adaptation concerns both the classical rough set approach based on indiscernibi
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發(fā)表于 2025-3-31 18:40:25 | 只看該作者
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