Atnaujintas knygų su minimaliais defektais pasiūlymas! Naršykite ČIA >>
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.
| Autorius: | I. Burhan Türksen, Asli Celikyilmaz, |
| Serija: | Studies in Fuzziness and Soft Computing |
| Leidėjas: | Springer Berlin Heidelberg |
| Išleidimo metai: | 2010 |
| Knygos puslapių skaičius: | 448 |
| ISBN-10: | 3642100635 |
| ISBN-13: | 9783642100635 |
| Formatas: | 235 x 155 x 25 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Modeling Uncertainty with Fuzzy Logic: With Recent Theory and Applications“
