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Titlebook: Rough Sets, Fuzzy Sets, Data Mining and Granular Computing; 12th International C Hiroshi Sakai,Mihir Kumar Chakraborty,William Zhu Conferen

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楼主: 平凡人
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Rough Set Year in India 2009 cetera. Its application domains include pattern recognition, feature selection, information retrieval, bioinformatics, computer vision, multimedia, medicine, retail data mining, web mining, control, traffic engineering, data warehousing, and many others.
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Conference proceedings 2009ions. The papers are organized in topical sections on foundations of rough sets and beyond; rought set algorithms and applications; fuzzy set foundations and applications; data mining and knowledge discovery; clustering and current trends in computing; and information retrieval and text mining.
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Intelligent Scienceill create a brilliant future in 21st century. The paper will outline the framework of intelligence science and present its ten big challenges. Tolerance Granular Space Model (TGSM) will be discussed as one of helpful approaches.
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On a Criterion of Similarity between Partitions Based on Rough Set Theoryrion of relative reducts proposed by the authors and evaluates the similarity of partitions by correctness and roughness with each other. Moreover, for comparison of similarity scores between different universes, we also propose a normalized similarity criterion.
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A Logical Reasoning System of Before-after Relation Based on Bf-EVALPSNs) and applied to real-time process order control. In this paper, we introduce a logical before-after relation reasoning system based on two inference rules for before-after relation with simple examples.
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