Uncertainty Theory
Language: English
Published by Springer Berlin Heidelberg, 2014
- Hardcover
- New
Condition: New
£ 79.44
Quantity: Over 20 available
Add to basketItem description from seller
Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The first book available on the research of human uncertaintyCovering three different main areas of uncertainty theory: uncertain variable, uncertain set and uncertain processPresents applications of uncertainty theory in industrial enginee.
Seller Inventory # 5227659
- Title
- Uncertainty Theory
- Author
- Baoding Liu
- Publisher
- Springer Berlin Heidelberg
- Publication year
- 2014
- Condition
- New
- Binding
- Gebunden
- Language
- English
- ISBN 10
- 3662443538
- ISBN 13
- 9783662443538
- Edition
- 4th Edition
- Dimensions
- 3.2 x 24.2 x 16.4
- Seller catalogs
- Mathematik/Naturwissenschaften/Technik/Medizin
When no samples are available to estimate a probability distribution, we have to invite some domain experts to evaluate the belief degree that each event will happen. Perhaps some people think that the belief degree should be modeled by subjective probability or fuzzy set theory. However, it is usually inappropriate because both of them may lead to counterintuitive results in this case.
In order to rationally deal with belief degrees, uncertainty theory was founded in 2007 and subsequently studied by many researchers. Nowadays, uncertainty theory has become a branch of axiomatic mathematics for modeling belief degrees.
This is an introductory textbook on uncertainty theory, uncertain programming, uncertain statistics, uncertain risk analysis, uncertain reliability analysis, uncertain set, uncertain logic, uncertain inference, uncertain process, uncertain calculus, and uncertain differential equation. This textbook also shows applications of uncertainty theory to scheduling, logistics, networks, data mining, control, and finance.
"Synopsis" may belong to another edition of this title.
From the Back Cover
When no samples are available to estimate a probability distribution, we have to invite some domain experts to evaluate the belief degree that each event will happen. Perhaps some people think that the belief degree should be modeled by subjective probability or fuzzy set theory. However, it is usually inappropriate because both of them may lead to counterintuitive results in this case.
In order to rationally deal with belief degrees, uncertainty theory was founded in 2007 and subsequently studied by many researchers. Nowadays, uncertainty theory has become a branch of axiomatic mathematics for modeling belief degrees.
This is an introductory textbook on uncertainty theory, uncertain programming, uncertain statistics, uncertain risk analysis, uncertain reliability analysis, uncertain set, uncertain logic, uncertain inference, uncertain process, uncertain calculus, and uncertain differential equation. This textbook also shows applications of uncertainty theory to scheduling, logistics, networks, data mining, control, and finance.
"About the title" may belong to another edition of this title.
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