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Rough Set Theory: A True Landmark in Data Analysis

Author: Janusz Kacprzyk; Rafael Bello; Ajith Abraham; Rafael Falcón
Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
Series: Studies in computational intelligence, 174.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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 keeping an eye on topological aspects of the theory as well as strengthening its linkage with other soft computing  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Rough set theory.
Berlin : Springer, 2009
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Janusz Kacprzyk; Rafael Bello; Ajith Abraham; Rafael Falcón
ISBN: 9783540899211 3540899219 9783540899204 3540899200
OCLC Number: 311305830
Description: 1 online resource (: v.: digital.
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.
Series Title: Studies in computational intelligence, 174.
Responsibility: edited by Janusz Kacprzyk, Ajith Abraham, Rafael Falcón, Rafael Bello.

Abstract:

Part 1 of this book deals with theoretical contributions of rough set theory, and parts 2 and 3 focus on several real world data mining applications. The book thoroughly explores recent results in  Read more...

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