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Mastering Risk and Procurement in Project Management eBook
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Quotient Space Based Problem Solving: A Theoretical Foundation of Granular Computing eBook
Original price was: $129.95.$80.00Current price is: $80.00.
By: Zhang, Ling; Zhang, Bo
Publisher: Morgan Kaufmann
Print ISBN: 9780124103870, 0124103871
eText ISBN: 9780124103870, 9780124104433, 0124104436
Pages: 396
Format: Reflowable
Delivery: Can be download immediately after purchasing. For new customer, we need process for verification from 30 mins to 12 hours.
Version: PDF/EPUB. If you need EPUB and MOBI Version, please send contact us.
Compatible Devices: Can be read on any devices
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.
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- Explains the theory of hierarchical problem solving, its computational complexity, and discusses the principle and applications of multi-granular computing
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- Describes a human-like, theoretical framework using quotient space theory, that will be of interest to researchers in artificial intelligence.
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- Provides many applications and examples in the engineering and computer science area.
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- Includes complete coverage of planning, heuristic search and coverage of strictly mathematical models.
Quotient Space Based Problem Solving: A Theoretical Foundation of Granular Computing is written by Zhang, Ling; Zhang, Bo and published by Morgan Kaufmann. The Digital and eTextbook ISBNs for Quotient Space Based Problem Solving: A Theoretical Foundation of Granular Computing are 9780124103870, 9780124104433, 0124104436 and the print ISBNs are 9780124103870, 0124103871. Save up to 80% versus print by going digital with VitalSource.
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