TY - BOOK UR - http://lib.ugent.be/catalog/ebk01:3710000000271839 ID - ebk01:3710000000271839 ET - 4th ed. 2015. LA - eng TI - Uncertainty Theory PY - 2015 SN - 9783662443545 AU - Liu, Baoding. author. AB - 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. AB - 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. ER -Download RIS file
03127nam a22005175i 4500 | |||
001 | 978-3-662-44354-5 | ||
003 | DE-He213 | ||
005 | 20151204181253.0 | ||
007 | cr nn 008mamaa | ||
008 | 141103s2015 gw | s |||| 0|eng d | ||
020 | a 9783662443545 9 978-3-662-44354-5 | ||
024 | 7 | a 10.1007/978-3-662-44354-5 2 doi | |
050 | 4 | a Q342 | |
072 | 7 | a UYQ 2 bicssc | |
072 | 7 | a COM004000 2 bisacsh | |
082 | 4 | a 006.3 2 23 | |
100 | 1 | a Liu, Baoding. e author. | |
245 | 1 | a Uncertainty Theory h [electronic resource] / c by Baoding Liu. | |
250 | a 4th ed. 2015. | ||
264 | 1 | a Berlin, Heidelberg : b Springer Berlin Heidelberg : b Imprint: Springer, c 2015. | |
300 | a XVII, 487 p. 105 illus. b online resource. | ||
336 | a text b txt 2 rdacontent | ||
337 | a computer b c 2 rdamedia | ||
338 | a online resource b cr 2 rdacarrier | ||
347 | a text file b PDF 2 rda | ||
490 | 1 | a Springer Uncertainty Research, x 2199-3807 | |
505 | 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 | a Engineering. | ||
650 | a Operations research. | ||
650 | a Decision making. | ||
650 | a Mathematical statistics. | ||
650 | a Probabilities. | ||
650 | a Computational intelligence. | ||
650 | 1 | 4 | a Engineering. |
650 | 2 | 4 | a Computational Intelligence. |
650 | 2 | 4 | a Probability Theory and Stochastic Processes. |
650 | 2 | 4 | a Probability and Statistics in Computer Science. |
650 | 2 | 4 | a Operation Research/Decision Theory. |
710 | 2 | a SpringerLink (Online service) | |
773 | t Springer eBooks | ||
776 | 8 | i Printed edition: z 9783662443538 | |
830 | a Springer Uncertainty Research, x 2199-3807 | ||
856 | 4 | u http://dx.doi.org/10.1007/978-3-662-44354-5 | |
912 | a ZDB-2-ENG | ||
950 | a Engineering (Springer-11647) |
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