Modeling Uncertainty with Fuzzy Logic: With Recent Theory and Applications

byAsli Celikyilmaz, I. Burhan Türksen

Paperback | October 21, 2010

Modeling Uncertainty with Fuzzy Logic: With Recent Theory and Applications by Asli Celikyilmaz
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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.
Fuzzy Sets and Systems.- Improved Fuzzy Clustering.- Fuzzy Functions Approach.- Modeling Uncertainty with Improved Fuzzy Functions.- Experiments.- Conclusions and Future Work.
Title:Modeling Uncertainty with Fuzzy Logic: With Recent Theory and ApplicationsFormat:PaperbackProduct dimensions:448 pages, 9.25 X 6.1 X 0 inShipping dimensions:448 pages, 9.25 X 6.1 X 0 inPublished:October 21, 2010Publisher:Springer Berlin HeidelbergLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3642100635

ISBN - 13:9783642100635

Appropriate for ages: All ages

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