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Quotient Space Based Problem Solving: A Theoretical Foundation of Granular Computing

Quotient Space Based Problem Solving: A Theoretical Foundation of Granular Computing

by Ling Zhang (Author), Bo Zhang (Author), Ling Zhang (Author), Bo Zhang (Author)

  • New

    Illustrated 2014

    $84.00
Synopsis

Quotient Space Based Problem Solving provides an in-depth treatment of hierarchical problem solving, computational complexity, and the principles and applications of multi-granular computing, including inference, information fusing, planning, and heuristic search.

$84.00

Save:$21.40 (20%)

Quantity

20+ in stock

More Information

Format: Illustrated
 Pages: 396
 Edition: Illustrated
 Publisher: Morgan Kaufmann
Published: 27 Feb 2014
ISBN 10: 0124103871
ISBN 13: 9780124103870
Book Overview: The latest research and developments in granular computing presented with an applications-based focus.

Media Reviews
The entire book is devoted to formalize and automate...a theory of granular computing, which is essentially based on quotient spaces. --Zentralblatt MATH ... aimed primarily at graduate students (and academicians) with strong mathematical maturity and an interest in mathematical modeling in the fields around artificial intelligence (AI). --Computing Reviews, November 2014
Author Bio
Professor Ling Zhang is currently with the Department of Computer Science at Anhui University in Hefei, China. His main interests are artificial intelligence, machine learning, neural networks, genetic algorithms and computational intelligence. Professor Bo Zhang is currently with the Computer Science and Technology Department at Tsinghua University in Beijing, China, He is a Fellow of Chinese Academy of Sciences. His main research interests include artificial intelligence, robotics, intelligent control and pattern recognition. He has published over 150 papers and 3 monographs in these fields.