Titlebook: Rough Sets and Knowledge Technology; 4th International Co Peng Wen,Yuefeng Li,Guoyin Wang Conference proceedings 2009 Springer-Verlag Berli

dictator

Taichi Haruna,Yukio-Pegio Gunjid to cool unimpeded at the rate predicted from known atomic physics, in the context of a well-established cosmological model, the gaseous matter would form stars and galaxies with a high e?ciency, so that far more than the observed fraction of about 10–15% of the baryonic matter would be found in lu

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obscurity

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/r/image/831919.jpg

凹槽

https://doi.org/10.1007/978-3-642-02962-2cognitive computing; computational intelligence; data mining; data reduction; formal concept analysis; fu

发源

978-3-642-02961-5Springer-Verlag Berlin Heidelberg 2009

FUME

Rough Sets and Knowledge Technology978-3-642-02962-2Series ISSN 0302-9743 Series E-ISSN 1611-3349

Neuropeptides

Rough Diamonds in Natural Language Learningng and rough sets. This keynote presentation will trace the course of our Natural Language Learning as well as some quite intriguing spin-off applications. The focus of the paper will be learning, by both human and computer, reinterpreting our work of the last 30 years [1-12,20-24] in terms of recent developments in Rough Sets.

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Topological Residuated Lattice: A Unifying Algebra Representation of Some Rough Set Modelszy rough set and intuitionistic fuzzy rough set), a new notion of the topological residuated lattice is introduced, and its basic properties are given. Moreover, the relationship between topological residuated lattice and triangle algebra are investigated.