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Modeling Uncertainty with Fuzzy Logic

With Recent Theory and Applications

By: Asli Celikyilmaz,I. Burhan Türksen

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Modeling Uncertainty with Fuzzy Logic

With Recent Theory and Applications

By: Asli Celikyilmaz,I. Burhan Türksen

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.

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Page Count

443

Publisher

Springer

Published Date

ISBN 10

3540899243

ISBN 13

9783540899242

Modeling Uncertainty with Fuzzy Logic

With Recent Theory and Applications

By: Asli Celikyilmaz,I. Burhan Türksen

Write a review Read reviews Take a Quiz Solve Book Puzzle

Modeling Uncertainty with Fuzzy Logic

With Recent Theory and Applications

By: Asli Celikyilmaz,I. Burhan Türksen

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.

Average ratings

N/A

5

0%

4

0%

3

0%

2

0%

1

0%

Solve jigsaw puzzle

Age

Page Count

443

Publisher

Springer Science & Business Media

Published Date

ISBN 10

3540899235

ISBN 13

9783540899235