Rough Set Theory: A True Landmark in Data Analysis /

Detalles Bibliográficos
Autor Corporativo:	SpringerLink (Online service)
Otros Autores:	Abraham, Ajith. (Editor ), Falcón, Rafael. (Editor ), Bello, Rafael. (Editor )
Formato:	eBook
Lenguaje:	English
Publicado:	Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edición:	1st ed. 2009.
Colección:	Studies in Computational Intelligence, 174
Materias:	Computer-aided engineering. Applied mathematics. Engineering mathematics. Artificial intelligence. Computer-Aided Engineering (CAD, CAE) and Design. Mathematical and Computational Engineering. Artificial Intelligence.

Tabla de Contenidos:

Theoretical Contributions to Rough Set Theory
Rough Sets on Fuzzy Approximation Spaces and Intuitionistic Fuzzy Approximation Spaces
Categorical Innovations for Rough Sets
Granular Structures and Approximations in Rough Sets and Knowledge Spaces
On Approximation of Classifications, Rough Equalities and Rough Equivalences
Rough Set Data Mining Activities
Rough Clustering with Partial Supervision
A Generic Scheme for Generating Prediction Rules Using Rough Sets
Rough Web Caching
Software Defect Classification: A Comparative Study of Rough-Neuro-fuzzy Hybrid Approaches with Linear and Non-linear SVMs
Rough Hybrid Models to Classification and Attribute Reduction
Rough Sets and Evolutionary Computation to Solve the Feature Selection Problem
Nature Inspired Population-Based Heuristics for Rough Set Reduction
Developing a Knowledge-Based System Using Rough Set Theory and Genetic Algorithms for Substation Fault Diagnosis.

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