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Fuller, Robert

Published by Physica

ISBN 10: 3790812560 ISBN 13: 9783790812565

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From: Paisleyhaze Books (New Hartford, CT, U.S.A.)

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About this Item: Physica. PAPERBACK. Condition: New. 3790812560 Physica-Verlag trade paperback, 2000, sealed in shrink wrap, No marks or damage.Brand New.Bubble-wrapped and mailed in a Box w/delivery confirmation. Seller Inventory # 65979T

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Robert Fuller

Published by Physica (2000)

ISBN 10: 3790812560 ISBN 13: 9783790812565

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From: Ergodebooks (RICHMOND, TX, U.S.A.)

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About this Item: Physica, 2000. Paperback. Condition: New. 2000. Seller Inventory # DADAX3790812560

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Robert Fuller

Published by Springer-Verlag Berlin and Heidelberg GmbH and Co. KG (1999)

ISBN 10: 3790812560 ISBN 13: 9783790812565

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From: Pbshop (Wood Dale, IL, U.S.A.)

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About this Item: Springer-Verlag Berlin and Heidelberg GmbH and Co. KG, 1999. PAP. Condition: New. New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # IQ-9783790812565

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Robert Fuller

Published by Springer-Verlag Berlin and Heidelberg GmbH and Co. KG (1999)

ISBN 10: 3790812560 ISBN 13: 9783790812565

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From: Books2Anywhere (Fairford, GLOS, United Kingdom)

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About this Item: Springer-Verlag Berlin and Heidelberg GmbH and Co. KG, 1999. PAP. Condition: New. New Book. Delivered from our UK warehouse in 3 to 5 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # LQ-9783790812565

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Fuller, Robert

Published by Physica (2016)

ISBN 10: 3790812560 ISBN 13: 9783790812565

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From: Ria Christie Collections (Uxbridge, United Kingdom)

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About this Item: Physica, 2016. Paperback. Condition: New. PRINT ON DEMAND Book; New; Publication Year 2016; Not Signed; Fast Shipping from the UK. No. book. Seller Inventory # ria9783790812565_lsuk

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Robert Fuller

Published by Physica-Verlag HD (2000)

ISBN 10: 3790812560 ISBN 13: 9783790812565

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From: Ergodebooks (RICHMOND, TX, U.S.A.)

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About this Item: Physica-Verlag HD, 2000. Paperback. Condition: Used: Good. Seller Inventory # SONG3790812560

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ROBERT FULLER

Published by Physica (1999)

ISBN 10: 3790812560 ISBN 13: 9783790812565

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From: Herb Tandree Philosophy Books (Stroud, GLOS, United Kingdom)

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About this Item: Physica, 1999. Paperback. Condition: NEW. 9783790812565 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. For all enquiries, please contact Herb Tandree Philosophy Books directly - customer service is our primary goal. Seller Inventory # HTANDREE0371917

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Robert Fuller

Published by Physica (2000)

ISBN 10: 3790812560 ISBN 13: 9783790812565

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From: Irish Booksellers (Portland, ME, U.S.A.)

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About this Item: Physica, 2000. Paperback. Condition: New. book. Seller Inventory # M3790812560

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Robert Fuller

Published by Physica (1999)

ISBN 10: 3790812560 ISBN 13: 9783790812565

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About this Item: Physica, 1999. Condition: New. This item is printed on demand for shipment within 3 working days. Seller Inventory # LP9783790812565

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Fuller, Robert

Published by Physica (2018)

ISBN 10: 3790812560 ISBN 13: 9783790812565

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From: Murray Media (North Miami Beach, FL, U.S.A.)

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About this Item: Physica, 2018. Paperback. Condition: New. Never used! This item is printed on demand. Seller Inventory # 3790812560

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Robert Fuller

Published by Physica-Verlag

ISBN 10: 3790812560 ISBN 13: 9783790812565

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From: BuySomeBooks (Las Vegas, NV, U.S.A.)

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About this Item: Physica-Verlag. Paperback. Condition: New. 289 pages. Dimensions: 9.2in. x 6.1in. x 0.6in.Fuzzy sets were introduced by Zadeh (1965) as a means of representing and manipulating data that was not precise, but rather fuzzy. Fuzzy logic pro vides an inference morphology that enables approximate human reasoning capabilities to be applied to knowledge-based systems. The theory of fuzzy logic provides a mathematical strength to capture the uncertainties associ ated with human cognitive processes, such as thinking and reasoning. The conventional approaches to knowledge representation lack the means for rep resentating the meaning of fuzzy concepts. As a consequence, the approaches based on first order logic and classical probablity theory do not provide an appropriate conceptual framework for dealing with the representation of com monsense knowledge, since such knowledge is by its nature both lexically imprecise and noncategorical. The developement of fuzzy logic was motivated in large measure by the need for a conceptual framework which can address the issue of uncertainty and lexical imprecision. Some of the essential characteristics of fuzzy logic relate to the following 242. In fuzzy logic, exact reasoning is viewed as a limiting case of ap proximate reasoning. In fuzzy logic, everything is a matter of degree. In fuzzy logic, knowledge is interpreted a collection of elastic or, equivalently, fuzzy constraint on a collection of variables. Inference is viewed as a process of propagation of elastic con straints. Any logical system can be fuzzified. There are two main characteristics of fuzzy systems that give them better performance fr specific applications. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Seller Inventory # 9783790812565

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Robert Fuller

Published by Springer-Verlag Berlin and Heidelberg GmbH Co. KG, Germany (2000)

ISBN 10: 3790812560 ISBN 13: 9783790812565

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Quantity Available: 10

From: The Book Depository EURO (London, United Kingdom)

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About this Item: Springer-Verlag Berlin and Heidelberg GmbH Co. KG, Germany, 2000. Paperback. Condition: New. 2000 ed.. Language: English . Brand New Book ***** Print on Demand *****.Fuzzy sets were introduced by Zadeh (1965) as a means of representing and manipulating data that was not precise, but rather fuzzy. Fuzzy logic pro- vides an inference morphology that enables approximate human reasoning capabilities to be applied to knowledge-based systems. The theory of fuzzy logic provides a mathematical strength to capture the uncertainties associ- ated with human cognitive processes, such as thinking and reasoning. The conventional approaches to knowledge representation lack the means for rep- resentating the meaning of fuzzy concepts. As a consequence, the approaches based on first order logic and classical probablity theory do not provide an appropriate conceptual framework for dealing with the representation of com- monsense knowledge, since such knowledge is by its nature both lexically imprecise and noncategorical. The developement of fuzzy logic was motivated in large measure by the need for a conceptual framework which can address the issue of uncertainty and lexical imprecision. Some of the essential characteristics of fuzzy logic relate to the following [242]. * In fuzzy logic, exact reasoning is viewed as a limiting case of ap- proximate reasoning. * In fuzzy logic, everything is a matter of degree. * In fuzzy logic, knowledge is interpreted a collection of elastic or, equivalently, fuzzy constraint on a collection of variables. * Inference is viewed as a process of propagation of elastic con- straints. * Any logical system can be fuzzified. There are two main characteristics of fuzzy systems that give them better performance fur specific applications. Seller Inventory # AAV9783790812565

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Results (1 - 12) of 12