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Efficient Fuzzy Information Processing by Huang Chongfu (13 results)
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Towards Efficient Fuzzy Information Processing
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Towards Efficient Fuzzy Information Processing: Using the Principle of Information Diffusion (Studies in Fuzziness and Soft Computing)
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Towards Efficient Fuzzy Information Processing
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Add to basketCondition: New. Book on fuzzy concepts to explain the dynamics and limitation of kernel functionsGives diffusion models for practical problemsWhen we learn from books or daily experience, we make associations and draw inferences on the basis of information that is .
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Book on fuzzy concepts to explain the dynamics and limitation of kernel functionsGives diffusion models for practical problemsWhen we learn from books or daily experience, we make associations and draw inferences on the basis of information that is .
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Add to basketCondition: New. Print on Demand pp. 394 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
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Towards Efficient Fuzzy Information Processing
Published by Physica-Verlag, Physica-Verlag HD, Physica Mai 2002, 2002
ISBN 10: 379081475X ISBN 13: 9783790814750
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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US$ 174.91
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Add to basketBuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -When we learn from books or daily experience, we make associations and draw inferences on the basis of information that is insufficient for under standing. One example of insufficient information may be a small sample derived from observing experiments. With this perspective, the need for de veloping a better understanding of the behavior of a small sample presents a problem that is far beyond purely academic importance. During the past 15 years considerable progress has been achieved in the study of this issue in China. One distinguished result is the principle of in formation diffusion. According to this principle, it is possible to partly fill gaps caused by incomplete information by changing crisp observations into fuzzy sets so that one can improve the recognition of relationships between input and output. The principle of information diffusion has been proven suc cessful for the estimation of a probability density function. Many successful applications reflect the advantages of this new approach. It also supports an argument that fuzzy set theory can be used not only in 'soft' science where some subjective adjustment is necessary, but also in 'hard' science where all data are recorded. 370 pp. Englisch.
