Modeling Uncertainty with Fuzzy Logic: With Recent Theory and Applications

Author:   Asli Celikyilmaz ,  I. Burhan Türksen
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2009 ed.
Volume:   240
ISBN:  

9783540899235


Pages:   400
Publication Date:   08 April 2009
Format:   Hardback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Our Price $525.36 Quantity:  
Add to Cart

Share |

Modeling Uncertainty with Fuzzy Logic: With Recent Theory and Applications


Overview

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.

Full Product Details

Author:   Asli Celikyilmaz ,  I. Burhan Türksen
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2009 ed.
Volume:   240
Dimensions:   Width: 15.50cm , Height: 2.50cm , Length: 23.50cm
Weight:   1.780kg
ISBN:  

9783540899235


ISBN 10:   3540899235
Pages:   400
Publication Date:   08 April 2009
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

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)


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)


Author Information

Tab Content 6

Author Website:  

Countries Available

All regions
Latest Reading Guide

NOV RG 20252

 

Shopping Cart
Your cart is empty
Shopping cart
Mailing List