Uncertainty Theory (Record no. 55017)

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fixed length control field 03176nam a22005415i 4500
001 - CONTROL NUMBER
control field 978-3-662-44354-5
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200421111702.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 141103s2015 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783662443545
-- 978-3-662-44354-5
082 04 - CLASSIFICATION NUMBER
Call Number 006.3
100 1# - AUTHOR NAME
Author Liu, Baoding.
245 10 - TITLE STATEMENT
Title Uncertainty Theory
250 ## - EDITION STATEMENT
Edition statement 4th ed. 2015.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XVII, 487 p. 105 illus.
490 1# - SERIES STATEMENT
Series statement Springer Uncertainty Research,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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 ## - SUMMARY, ETC.
Summary, etc 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.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-662-44354-5
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg :
-- Imprint: Springer,
-- 2015.
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-- text
-- txt
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-- computer
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-- rdamedia
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-- online resource
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-- text file
-- PDF
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Operations research.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Decision making.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mathematical statistics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Probabilities.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational intelligence.
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-- Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Probability Theory and Stochastic Processes.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Probability and Statistics in Computer Science.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Operation Research/Decision Theory.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2199-3807
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-- ZDB-2-ENG

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