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...
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| Other Authors: | , , |
| Format: | Electronic |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2009.
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| Series: | Studies in Computational Intelligence,
174 |
| Subjects: | |
| Online Access: | https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-540-89921-1 |
Table of Contents:
- Part I 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
- Part II 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
- Part III 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.