quotient space based problem solving

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Quotient Space Based Problem Solving
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Publisher : Newnes
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ISBN 10 : 0124104436
Pages : 396 pages
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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 be of interest to researchers in artificial intelligence Provides many applications and examples in the engineering and computer science area Includes complete coverage of planning, heuristic search and coverage of strictly mathematical models

Quotient Space Based Problem Solving

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

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Information Computing and Automation

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Fuzzy Hypergraphs and Related Extensions

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The recent pursuits emerging in the realm of big data processing, interpretation, collection and organization have emerged in numerous sectors including business, industry and government organizations. Data sets such as customer transactions for a mega-retailer, weather monitoring, intelligence gathering, quickly outpace the capacities of traditional techniques and tools of data

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Today, China is in a critical period of development facing a series of challenges such as optimizing the economic structure, rationalizing the use of resources, protecting the ecological environment, eradicating poverty, and fostering coordinated development of the whole society. These challenges can not be comprehensively address without the integrated development

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Transactions on Rough Sets VIII

VolumeVIIIoftheTransactions on Rough Sets (TRS)containsa widespectrum of contributions to the theory and applications of rough sets. The pioneering work by Prof. Zdzis law Pawlak led to the introduction of knowledge representation systems during the early 1970s and the discovery of rough sets during the early 1980s. During his lifetime,

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