Overview
- Contains the latest research in the rapidly growing interest in the area of Granular Computing (GC)
- Systematic exposure of the concepts, design methodology, and detailed algorithms
- Carefully structured and organized illustrative material
- Self-contained book , down to earth presentation of the material
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 182)
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About this book
Information granules and their processing permeate a way in which we perceive the world, carryout processing at the conceptual (abstract) level, and communicate our findings to the surrounding environment. The importance of information granulation becomes even more apparent when we are faced with a rapidly growing flood of data, become challenged to make decisions in complex data settings and are required to appreciate the context from which the data is derived. Human centricity of systems that claim to be “intelligent” and the granular computing come hand in hand. It is not surprising at all to witness that the paradigm of Granular Computing has started to gain visibility and continues along this path by gathering interest from the circles of academics and practitioners. It is quite remarkable that the spectrum of application and research areas that have adopted information granulation as a successful strategy for dealing with information complexity covers such diverse fields as bioinformatics, image understanding, environmental monitoring, urban sustainability, to mention few most visible in the literature. Undoubtedly, there are two important aspects of Granular Computing that are worth stressing. First, there are several formalisms in which information granules are articulated so be intervals (sets), fuzzy sets, rough sets, soft sets, approximate sets, near sets and alike. They are complementary and each of them offers some interesting views at the complexity of the world and cyberspace.
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Keywords
Table of contents (16 chapters)
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Front Matter
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Back Matter
Editors and Affiliations
Bibliographic Information
Book Title: Human-Centric Information Processing Through Granular Modelling
Editors: Andrzej Bargiela, Witold Pedrycz
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-540-92916-1
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2009
Hardcover ISBN: 978-3-540-92915-4Published: 26 February 2009
Softcover ISBN: 978-3-642-10092-5Published: 28 October 2010
eBook ISBN: 978-3-540-92916-1Published: 28 December 2008
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: VIII, 404
Topics: Mathematical and Computational Engineering, Artificial Intelligence, Applications of Mathematics