Modeling Uncertainty with Fuzzy Logic - With Recent Theory and Applications (Paperback, Softcover reprint of hardcover 1st ed. 2009)

The world we live in is pervaded with uncertainty and imprecision. Is it likely to rain this afternoon? Should I take an umbrella with me? Will I be able to find parking near the campus? Should I go by bus? Such simple questions are a c- mon occurrence in our daily lives. Less simple examples: What is the probability that the price of oil will rise sharply in the near future? Should I buy Chevron stock? What are the chances that a bailout of GM, Ford and Chrysler will not s- ceed? What will be the consequences? Note that the examples in question involve both uncertainty and imprecision. In the real world, this is the norm rather than exception. There is a deep-seated tradition in science of employing probability theory, and only probability theory, to deal with uncertainty and imprecision. The mon- oly of probability theory came to an end when fuzzy logic made its debut. H- ever, this is by no means a widely accepted view. The belief persists, especially within the probability community, that probability theory is all that is needed to deal with uncertainty. To quote a prominent Bayesian, Professor Dennis Lindley, "The only satisfactory description of uncertainty is probability.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Studies in Fuzziness and Soft Computing, 240
Release date:	October 2010
First published:	2009
Authors:	Asli Celikyilmaz • I. Burhan Turksen
Dimensions:	235 x 155 x 23mm (L x W x T)
Format:	Paperback
Pages:	400
Edition:	Softcover reprint of hardcover 1st ed. 2009
ISBN-13:	978-3-642-10063-5
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Professional & Technical > Technology: general issues > Technical design > Computer aided design (CAD) Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	3-642-10063-5
Barcode:	9783642100635

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