Soft computing (SC) consists of several computing paradigms, including neural networks, fuzzy set theory, approximate reasoning, and derivative-free optimization methods such as genetic algorithms. The integration of those constituent methodologies forms the core of SC. In addition, the synergy allows SC to incorporate human knowledge effectively, deal with imprecision and uncertainty, and learn to adapt to unknown or changing environments for better performance. Together with other modern technologies, SC and its applications exert unprecedented influence on intelligent systems that mimic human intelligence in thinking, learning, reasoning, and many other aspects. Knowledge engineering (KE), which deals with knowledge acquisition, representation, validation, inferencing, explanation and maintenance, has made significant progress recently, owing to the indefatigable efforts of researchers. Undoubtedly, the hot topics of data mining and knowledge/data discovery have injected new life into the classical AI world. This book tells readers how KE has been influenced and extended by SC and how SC will be helpful in pushing the frontier of KE further. It is intended for researchers and graduate students to use as a reference in the study of knowledge engineering and intelligent systems. The reader is expected to have a basic knowledge of fuzzy logic, neural networks, genetic algorithms and knowledge-based systems.
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Front Cover | Front Flap | Table of Contents | First Pages | Index | Back Flap | Back Cover | Surprise Me!
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As the title, "A New Paradigm of Knowledge Engineering by Soft Computing", indicates, this book presents works in the intersection of two areas of computer science in the broad sense: knowledge engineering and soft computing. Read the first page Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Microsoft Access, Negative Large, Negative Medium, Positive Large, Positive Medium, Information Sciences, World Congress, John Wiley, Masao Mukaidono, First Second Third, Jet Engine Case, Kaoru Hirota, Prentice Hall, Self-Organizing Map, Interpolative Reasoning Method, San Mateo, World Scientific, Yan Shi, Degree of Weighted, Kluwer Academic Publishers, Man-Machine Studies, Masaharu Mizumoto, Morgan Kaufmann Publishers, Rules Antecedent New!
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Front Cover | Front Flap | Table of Contents | First Pages | Index | Back Flap | Back Cover | Surprise Me!
As the title, "A New Paradigm of Knowledge Engineering by Soft Computing", indicates, this book presents works in the intersection of two areas of computer science in the broad sense: knowledge engineering and soft computing. Read the first page Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Microsoft Access, Negative Large, Negative Medium, Positive Large, Positive Medium, Information Sciences, World Congress, John Wiley, Masao Mukaidono, First Second Third, Jet Engine Case, Kaoru Hirota, Prentice Hall, Self-Organizing Map, Interpolative Reasoning Method, San Mateo, World Scientific, Yan Shi, Degree of Weighted, Kluwer Academic Publishers, Man-Machine Studies, Masaharu Mizumoto, Morgan Kaufmann Publishers, Rules Antecedent New!
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Front Cover | Front Flap | Table of Contents | First Pages | Index | Back Flap | Back Cover | Surprise Me!
Citations (learn more)
This book cites 39
books:
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- Fuzzy Logic by J. Baldwin on 4 pages
- Fuzzy Logic for the Management of Uncertainty by Lotfi Zadeh on page 161, and page 347
- The Ordered Weighted Averaging Operators: Theory and Applications by Ronald R. Yager on page 346, and page 347
- Fuzziness in Database Management Systems (Studies in Fuzziness and Soft Computing) by Patrick Bosc on page 345, and page 346
- Soft Computing on page 13, and page 324
See all 39 books this book cites
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