Del 301
Advances in Type-2 Fuzzy Sets and Systems
Alireza Sadeghian, Jerry M Mendel, Hooman Tahayori
Inbunden, 2013
2 209 kr
Del 240 i serien Studies in Fuzziness and Soft Computing
Modeling Uncertainty with Fuzzy Logic
With Recent Theory and Applications
Häftad, Engelska, 2010
2 139 kr
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Finns i fler format (1)
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.
Produktinformation
- Utgivningsdatum2010-10-21
- Mått155 x 235 x 25 mm
- Vikt674 g
- FormatHäftad
- SpråkEngelska
- SerieStudies in Fuzziness and Soft Computing
- Antal sidor400
- FörlagSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
- ISBN9783642100635
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