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

Contributor(s): Zhang, Ling (Author), Zhang, Bo (Author)

ISBN: 9780124103870

Publisher: Morgan Kaufmann Publishers

Hardcover
$130.00
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Pub Date: February 25, 2014

Dewey: 006.3

Lexile Code: 0000

Features: Bibliography, Illustrated, Index, Table of Contents

Target Age Group: NA to NA

Physical Info: 0.90" H x 9.30" L x 7.50" W ( 2.30 lbs) 396 pages

Descriptions, Reviews, etc.

Description:

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.

    Brief description: 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.

    Review Quotes:

    "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

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