Quotient space based problem solving a theoretical foundation of granular computing
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. Explains the theory of hierarc...
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Other Authors: | |
Format: | eBook |
Language: | Inglés |
Published: |
Oxford :
Morgan Kaufmann
2014.
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Edition: | 1st ed |
Series: | Gale eBooks
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Subjects: | |
See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009627879906719 |
Summary: | 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. Explains the theory of hierarchical problem solving, its computational complexity, and discusses the principle and applications of multi-granular computing Describes a human-like, theoretical framework using quotient space theory, that will |
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Item Description: | Description based upon print version of record. |
Physical Description: | 1 online resource (xiii, 382 pages) : illustrations |
Bibliography: | Includes bibliographical references and index. |
ISBN: | 9780128103098 9780124104433 |