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Uncertainty theory

Liu, Baoding.

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Uncertainty theory

Record Type:	Electronic resources : Monograph/item
Title/Author:	Uncertainty theory/ by Baoding Liu.
Author:	Liu, Baoding.
Published:	Berlin, Heidelberg :Springer Berlin Heidelberg : : 2015.,
Description:	xvii, 487 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
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:

587701
Uncertainty (Information theory)

LC Class. No.: Q375

Dewey Class. No.: 003.54

Uncertainty theory
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100 1 $a Liu, Baoding. $3 1001873
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 587701
650 0 $a Fuzzy statistics. $3 2131945
650 0 $a Probabilities. $3 518889
650 1 4 $a Engineering. $3 586835
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Probability Theory and Stochastic Processes. $3 891080
650 2 4 $a Probability and Statistics in Computer Science. $3 891072
650 2 4 $a Operation Research/Decision Theory. $3 1620900
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Springer uncertainty research. $3 2131944
856 4 0 $u http://dx.doi.org/10.1007/978-3-662-44354-5
950 $a Engineering (Springer-11647)