Overview
- Authors:
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Asli Celikyilmaz
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BISC - The Berkeley Initiative in Soft Computing Electrical Eng. and Computer Sciences Department, University of California, Berkeley, Berkeley, USA
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I. Burhan Türksen
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Mechanical & Industrial Engineering, University of Toronto , Toronto, Canada
- Introduces the formation of type-2 fuzzy functions to capture uncertainties associated with system behaviour
- Presents an uncertainty modeling approach using a new type of fuzzy system model via “Fuzzy Functions”
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Table of contents (7 chapters)
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- Asli Celikyilmaz, I. Burhan Türksen
Pages 1-10
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- Asli Celikyilmaz, I. Burhan Türksen
Pages 11-50
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- Asli Celikyilmaz, I. Burhan Türksen
Pages 51-104
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- Asli Celikyilmaz, I. Burhan Türksen
Pages 105-147
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- Asli Celikyilmaz, I. Burhan Türksen
Pages 149-215
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- Asli Celikyilmaz, I. Burhan Türksen
Pages 217-304
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- Asli Celikyilmaz, I. Burhan Türksen
Pages 305-311
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About this book
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.
Reviews
From the reviews:
“The present book has as goal the representation and utilization of uncertainty by means of fuzzy functions. … The book begins with a very good overview of the basic notions and principles related to fuzzy sets and systems … . The fuzzy models proposed in this book can be used with success by researchers from various domains of activity: engineering, economics, biology, sociology etc., in order to model complex systems.” (Ion Iancu, Zentralblatt MATH, Vol. 1168, 2009)
Authors and Affiliations
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BISC - The Berkeley Initiative in Soft Computing Electrical Eng. and Computer Sciences Department, University of California, Berkeley, Berkeley, USA
Asli Celikyilmaz
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Mechanical & Industrial Engineering, University of Toronto , Toronto, Canada
I. Burhan Türksen
