000			03824nam a22005175i 4500
001			u376560
003			SIRSI
005			20160812084419.0
007			cr nn 008mamaa
008			110805s2011 gw | s |||| 0|eng d
020			_a9783642228339 _9978-3-642-22833-9
040			_cMX-MeUAM
050		4	_aQ342
082	0	4	_a006.3 _223
100	1		_aLi, Shoumei. _eeditor.
245	1	0	_aNonlinear Mathematics for Uncertainty and its Applications _h[recurso electrónico] / _cedited by Shoumei Li, Xia Wang, Yoshiaki Okazaki, Jun Kawabe, Toshiaki Murofushi, Li Guan.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2011.
300			_aXVIII, 710 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aAdvances in Intelligent and Soft Computing, _x1867-5662 ; _v100
505	0		_aFrom the content: Ordinal Preference Models Based on S-Integrals and Their Verification -- Strong Laws of Large Numbers for Bernoulli Experiments under Ambiguity -- Comparative Risk Aversion for g-Expected Utility Maximizers -- Riesz Type Integral Representations for Comonotonically Additive Functionals -- Pseudo-Concave Integrals -- On Spaces of Bochner and Pettis Integrable Functions and Their Set-Valued Counterparts -- Upper Derivatives of Set Functions Represented as the Choquet Indefinite Integral -- On Regularity for Non-Additive Measure.
520			_aThis volume is a collection of papers presented at the international conference on Nonlinear Mathematics for Uncertainty and Its Applications (NLMUA2011), held at Beijing University of Technology during the week of September 7--9, 2011. The conference brought together leading researchers and practitioners involved with all aspects of nonlinear mathematics for uncertainty and its applications. Over the last fifty years there have been many attempts in extending the theory of classical probability and statistical models to the generalized one which can cope with problems of inference and decision making when the model-related information is scarce, vague, ambiguous, or incomplete. Such attempts include the study of nonadditive measures and their integrals, imprecise probabilities and random sets, and their applications in information sciences, economics, finance, insurance, engineering, and social sciences. The book presents topics including nonadditive measures and nonlinear integrals, Choquet, Sugeno and other types of integrals, possibility theory, Dempster-Shafer theory, random sets, fuzzy random sets and related statistics, set-valued and fuzzy stochastic processes, imprecise probability theory and related statistical models, fuzzy mathematics, nonlinear functional analysis, information theory, mathematical finance and risk managements, decision making under various types of uncertainty, and others.
650		0	_aEngineering.
650		0	_aArtificial intelligence.
650		0	_aMathematics.
650	1	4	_aEngineering.
650	2	4	_aComputational Intelligence.
650	2	4	_aArtificial Intelligence (incl. Robotics).
650	2	4	_aApplications of Mathematics.
700	1		_aWang, Xia. _eeditor.
700	1		_aOkazaki, Yoshiaki. _eeditor.
700	1		_aKawabe, Jun. _eeditor.
700	1		_aMurofushi, Toshiaki. _eeditor.
700	1		_aGuan, Li. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642228322
830		0	_aAdvances in Intelligent and Soft Computing, _x1867-5662 ; _v100
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-22833-9
596			_a19
942			_cLIBRO_ELEC
999			_c204440 _d204440