Modeling Uncertainty with Fuzzy Logic als eBook von I. Burhan Türksen
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| Preise | 2018 | 2020 | 2021 |
|---|---|---|---|
| Schnitt | € 182,09 | € 160,49 | € 174,88 |
| Nachfrage |
1
Modeling Uncertainty with Fuzzy Logic
~EN NW EB DLISBN: 9783540899242 bzw. 3540899243, vermutlich in Englisch, Springer Shop, neu, E-Book, elektronischer Download.
Lieferung aus: Deutschland, Lagernd.
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. eBook.
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. eBook.
2
Modeling Uncertainty with Fuzzy Logic - With Recent Theory and Applications
DE NW EB DLISBN: 9783540899242 bzw. 3540899243, in Deutsch, Springer Berlin, neu, E-Book, elektronischer Download.
Lieferung aus: Deutschland, Versandkostenfrei.
Modeling Uncertainty with Fuzzy Logic: 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. Englisch, Ebook.
Modeling Uncertainty with Fuzzy Logic: 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. Englisch, Ebook.
3
Modeling Uncertainty with Fuzzy Logic : With Recent Theory and Applications
EN NW EB DLISBN: 9783540899242 bzw. 3540899243, in Englisch, Springer Berlin Heidelberg, neu, E-Book, elektronischer Download.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Despatched same working day before 3pm.
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.
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.
4
Modeling Uncertainty with Fuzzy Logic
DE NWISBN: 9783540899242 bzw. 3540899243, in Deutsch, Springer, Berlin/Heidelberg, Deutschland, neu.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Versandkostenfrei.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
5
Modeling Uncertainty with Fuzzy Logic als eBook von Asli Celikyilmaz, I. Burhan Türksen
DE NWISBN: 9783540899242 bzw. 3540899243, in Deutsch, Springer Berlin Heidelberg, neu.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Versandkostenfrei.
Modeling Uncertainty with Fuzzy Logic ab 171.99 EURO With Recent Theory and Applications.
Modeling Uncertainty with Fuzzy Logic ab 171.99 EURO With Recent Theory and Applications.
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