Overview
- Authors:
-
-
Asli Celikyilmaz
-
BISC - The Berkeley Initiative in Soft Computing Electrical Eng. and Computer Sciences Department, University of California, Berkeley, Berkeley, USA
-
I. Burhan Türksen
-
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”
Access this book
Other ways to access
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.
Similar content being viewed by others
Table of contents (7 chapters)
-
-
- Asli Celikyilmaz, I. Burhan Türksen
Pages 1-10
-
- Asli Celikyilmaz, I. Burhan Türksen
Pages 11-50
-
- Asli Celikyilmaz, I. Burhan Türksen
Pages 51-104
-
- Asli Celikyilmaz, I. Burhan Türksen
Pages 105-147
-
- Asli Celikyilmaz, I. Burhan Türksen
Pages 149-215
-
- Asli Celikyilmaz, I. Burhan Türksen
Pages 217-304
-
- Asli Celikyilmaz, I. Burhan Türksen
Pages 305-311
-
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
-
BISC - The Berkeley Initiative in Soft Computing Electrical Eng. and Computer Sciences Department, University of California, Berkeley, Berkeley, USA
Asli Celikyilmaz
-
Mechanical & Industrial Engineering, University of Toronto , Toronto, Canada
I. Burhan Türksen