From Data to Information Granules
By (author) Witold Pedrycz
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Knowledge-based Clustering by Witold Pedrycz
Book DescriptionA comprehensive coverage of emerging and current technology dealing with heterogeneous sources of information, including data, design hints, reinforcement signals from external datasets, and related topics Covers all necessary prerequisites, and if necessary,additional explanations of more advanced topics, to make abstract concepts more tangible Includes illustrative material andwell--known experimentsto offer hands--on experience
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Book DetailsISBN: 9780471469667
(236mm x 164mm x 21mm)
Imprint: John Wiley & Sons Inc
Publisher: John Wiley and Sons Ltd
Publish Date: 18-Feb-2005
Country of Publication: United States
Books By Author Witold Pedrycz
Fuzzy Multicriteria Decision-Making, Hardback (November 2010)
Models and Algorithms of Fuzzy Multicriteria Decision-Making and Their Applications addresses theoretical and practical gaps in considering uncertainty and multicriteria factors in system project, planning, and control. The authors provide a systematic exposure of the concepts, design methodology, and detailed algorithms.
Handbook of Granular Computing, Hardback (July 2008)
Although the notion is a relatively recent one, the notions and principles of Granular Computing (GrC) have appeared in a different guise in many related fields including granularity in Artificial Intelligence, interval computing, cluster analysis, quotient space theory and many others.
Fuzzy Systems Engineering, Hardback (August 2007)» View all books by Witold Pedrycz
A radical departure from the conventional approach usually used to cover fuzzy systems engineering, Fuzzy Systems Engineering: Toward Human-Centric Computing provides a comprehensive and self-contained treatise of fuzzy sets.
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Author Biography - Witold Pedrycz
WITOLD PEDRYCZ, PHD, is a Professor and Canada Research Chair at the University of Alberta, Canada. He is also with the Systems Research Institute of The Polish Academy of Sciences, Warsaw, Poland. Dr. Pedrycz is a Fellow of the IEEE, has authored nine research monographs, edited six volumes, and has written numerous papers in computational intelligence, granular computing, pattern recognition, quantitative software engineering, and data mining.
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