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008			141103s2015 gw | s |||| 0|eng d
020			_a9783662443545
024	7		_a10.1007/978-3-662-44354-5 _2doi
040			_bspa _dES-MaUEC
050		4	_aQ375 _b.L583 2015 EB
100	1		_aLiu, Baoding. _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/n99001662 _1http://viaf.org/viaf/39608279/
245	1	0	_aUncertainty Theory _cby Baoding Liu.
250			_a4th edition
264		1	_aBerlin, Heidelberg _bSpringer International Publishing _c2015
300			_a1 recurso en línea (XVII, 487 páginas 105 ilustraciones)
336			_2rdacontent _aTexto (visual) _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
490	0		_aSpringer Uncertainty Research, _x2199-3807
490	0		_aEngineering (Springer-11647)
505	0		_aUncertain 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	3		_aWhen 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.
988			_aEBSPRINGER_2018
650		7	_aIncertidumbre (Teoría de la información) _2embne _9667868
776	0	8	_iEdición impresa: _z9783662443552
776	0	8	_iEdición impresa: _z9783662443538
776	0	8	_iEdición impresa: _z9783662499887
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-662-44354-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2019 _dz _eIG _zSI