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Modeling Uncertainty with Fuzzy Logic Asli Celikyilmaz

Modeling Uncertainty with Fuzzy Logic By Asli Celikyilmaz

Modeling Uncertainty with Fuzzy Logic by Asli Celikyilmaz


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Summary

There is a deep-seated tradition in science of employing probability theory, and only probability theory, to deal with uncertainty and imprecision. The belief persists, especially within the probability community, that probability theory is all that is needed to deal with uncertainty.

Modeling Uncertainty with Fuzzy Logic Summary

Modeling Uncertainty with Fuzzy Logic: With Recent Theory and Applications by Asli Celikyilmaz

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.

Modeling Uncertainty with Fuzzy Logic 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)

Table of Contents

Fuzzy Sets and Systems.- Improved Fuzzy Clustering.- Fuzzy Functions Approach.- Modeling Uncertainty with Improved Fuzzy Functions.- Experiments.- Conclusions and Future Work.

Additional information

NLS9783642100635
9783642100635
3642100635
Modeling Uncertainty with Fuzzy Logic: With Recent Theory and Applications by Asli Celikyilmaz
New
Paperback
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
2010-10-21
400
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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Customer Reviews - Modeling Uncertainty with Fuzzy Logic