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Rough Set Theory: A True Landmark in Data Analysis
Along the years, rough set theory has earned a well-deserved reputation as a sound methodology for dealing with imperfect knowledge in a simple though mathematically sound way. This edited volume aims at continue stressing the benefits of applying rough sets in many real-life situations while still...
| Cote: | Libro Electrónico |
|---|---|
| Collectivité auteur: | |
| Autres auteurs: | , , |
| Format: | Électronique eBook |
| Langue: | Inglés |
| Publié: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2009.
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| Édition: | 1st ed. 2009. |
| Collection: | Studies in Computational Intelligence,
174 |
| Sujets: | |
| Accès en ligne: | Texto Completo |
Table des matières:
- 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.