Modeling Uncertainty with Fuzzy Logic is popular PDF and ePub book, written by Asli Celikyilmaz in 2009-04-08, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Modeling Uncertainty with Fuzzy Logic can be Read Online from any device for your convenience.
Modeling Uncertainty with Fuzzy Logic Book PDF Summary
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.
Detail Book of Modeling Uncertainty with Fuzzy Logic PDF
- Author : Asli Celikyilmaz
- Release : 08 April 2009
- Publisher : Springer Science & Business Media
- ISBN : 9783540899235
- Genre : Computers
- Total Page : 443 pages
- Language : English
- PDF File Size : 9,6 Mb
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