Overview
- Presents recent results in Fuzzy and Rough Sets Theories and their Applications
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 224)
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Table of contents (21 chapters)
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Front Matter
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Fuzzy and Rough Sets’ Theoretical and Practical Aspects
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Front Matter
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Fuzzy and Rough Sets in Machine Learning and Data Mining
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Front Matter
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Fuzzy and Rough Sets in Decision-Making
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Front Matter
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Keywords
About this book
Since their very inception, both fuzzy and rough set theories have earned a sound, well-deserved reputation owing to their intrinsic capabilities to model uncertainty coming from the real world. The increasing amount of investigations on both subjects reported every year in the literature vouches for the dynamics of the area and its rapid advancements.
In the last few years the widespread utilization of fuzzy and rough sets as granulation sources has contributed to lay both methodologies in a privileged position within Granular Computing, thus giving rise to a sort a modeling which is far closer to the way human beings perceive their environment – via granulated knowledge.
This volume is a compilation of the best papers presented at the First International Symposium on Fuzzy and Rough Sets (ISFUROS 2006) held in Santa Clara, Cuba. You will therefore find valuable contributions both in the theoretical field as in several application domains such as intelligent control, data analysis, decision making and machine learning, just to name a few. Together, they will catch you up with the huge potential of the aforementioned methodologies.
Bibliographic Information
Book Title: Granular Computing: At the Junction of Rough Sets and Fuzzy Sets
Editors: Rafael Bello, Rafael Falcón, Witold Pedrycz, Janusz Kacprzyk
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-540-76973-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Hardcover ISBN: 978-3-540-76972-9Published: 20 February 2008
Softcover ISBN: 978-3-642-09568-9Published: 23 November 2010
eBook ISBN: 978-3-540-76973-6Published: 23 December 2007
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XVI, 335
Topics: Mathematical and Computational Engineering, Artificial Intelligence