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Uncertainty theory

Liu, Baoding.

Uncertainty theory

Record Type:	Electronic resources : Monograph/item
Title/Author:	Uncertainty theoryby Baoding Liu.
Author:	Liu, Baoding.
Published:	Berlin, Heidelberg :Springer Berlin Heidelberg :2015.
Description:	xvii, 487 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Uncertainty (Information theory)
Online resource:	http://dx.doi.org/10.1007/978-3-662-44354-5
ISBN:	9783662443545 (electronic bk.)

Uncertainty theory
Liu, Baoding.

Uncertainty theory[electronic resource] /by Baoding Liu. - 4th ed. - Berlin, Heidelberg :Springer Berlin Heidelberg :2015. - xvii, 487 p. :ill., digital ;24 cm. - Springer uncertainty research,2199-3807. - Springer uncertainty research..

Uncertain measure -- Uncertain variable -- Uncertain Programming -- Uncertain Statistics -- Uncertain Risk Analysis -- Uncertain Reliability Analysis -- Uncertain Logic -- Uncertain Entailment -- Uncertain Set -- Uncertain Inference -- Uncertain Process -- Uncertain Renewal Process -- Uncertain Calculus -- Uncertain Differential Equation -- Uncertain Finance.

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.

ISBN: 9783662443545 (electronic bk.)

Standard No.: 10.1007/978-3-662-44354-5doiSubjects--Topical Terms:

206405
Uncertainty (Information theory)

LC Class. No.: Q375

Dewey Class. No.: 003.54

Uncertainty theory
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245 1 0 $a Uncertainty theory $h [electronic resource] / $c by Baoding Liu.
250 $a 4th ed.
260 $a Berlin, Heidelberg : $b Springer Berlin Heidelberg : $b Imprint: Springer, $c 2015.
300 $a xvii, 487 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer uncertainty research, $x 2199-3807
505 0 $a Uncertain measure -- Uncertain variable -- Uncertain Programming -- Uncertain Statistics -- Uncertain Risk Analysis -- Uncertain Reliability Analysis -- Uncertain Logic -- Uncertain Entailment -- Uncertain Set -- Uncertain Inference -- Uncertain Process -- Uncertain Renewal Process -- Uncertain Calculus -- Uncertain Differential Equation -- Uncertain Finance.
520 $a 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.
650 0 $a Uncertainty (Information theory) $3 206405
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650 0 $a Probabilities. $3 182046
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650 2 4 $a Computational Intelligence. $3 338479
650 2 4 $a Probability Theory and Stochastic Processes. $3 274061
650 2 4 $a Probability and Statistics in Computer Science. $3 274053
650 2 4 $a Operation Research/Decision Theory. $3 585050
710 2 $a SpringerLink (Online service) $3 273601
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830 0 $a Springer uncertainty research. $3 712136
856 4 0 $u http://dx.doi.org/10.1007/978-3-662-44354-5
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