Modeling Uncertainty with Fuzzy Logic (eBook)

With Recent Theory and Applications

Asli Celikyilmaz, I. Burhan Türksen (Autoren)

eBook Download: PDF

2009 | 2009
XLVIII, 400 Seiten
Springer Berlin (Verlag)
978-3-540-89924-2 (ISBN)

Infos

This book presents an uncertainty modeling approach using a new type of fuzzy system model via "Fuzzy Functions". It also reviews standard tools of fuzzy system modeling approaches to demonstrate the novelty of the structurally different fuzzy function.

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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.

Inhalt

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

Produkt-Details

• Erscheint lt. Verlag: 1.4.2009
• Reihe/Serie: Studies in Fuzziness and Soft Computing
• Verlagsort: Berlin
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik
• Themenwelt: Technik
• Schlagworte: Fuzziness • Fuzzy Functions • Fuzzy Logic • Fuzzy Sets • fuzzy system • Knowledge • Model • Modeling • Modelling Uncertainty • Type-2 Fuzzy Functions
• ISBN-10: 3-540-89924-3 / 3540899243
• ISBN-13: 978-3-540-89924-2 / 9783540899242