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Nonlinear Mathematics for Uncertainty and its Applications

Nonlinear Mathematics for Uncertainty and its Applications
Kataloginformation
Feldname Details
Vorliegende Sprache eng
Hinweise auf parallele Ausgaben 348536909 Buchausg. u.d.T.: ‡Nonlinear mathematics for uncertainty and its applications
ISBN 978-3-642-22832-2
Name Li, Shoumei
Wang, Xia
Name ANZEIGE DER KETTE Wang, Xia
Name Okazaki, Yoshiaki
Kawabe, Jun
Murofushi, Toshiaki
Guan, Li
T I T E L Nonlinear Mathematics for Uncertainty and its Applications
Verlagsort Berlin, Heidelberg
Verlag Springer Berlin Heidelberg
Erscheinungsjahr 2011
2011
Umfang Online-Ressource (XVIII, 710p. 69 illus, digital)
Reihe Advances in Intelligent and Soft Computing ; 100
Notiz / Fußnoten Includes bibliographical references and index
Weiterer Inhalt Title Page; Preface; Organization; Contents; Ordinal Preference Models Based on S-Integrals and Their Verification; Introduction; Ordinal Preference Theory Based on S-Integrals; Experimental Verifications of S-Integral Models; Preferences of Apartments; Preferences of Part-Time Jobs; Savage's Omelet Problem; Hierarchical Preference Models; Conclusions; References; Strong Laws of Large Numbers for Bernoulli Experiments under Ambiguity; Introduction; Notation and Lemmas; The Main Results; Appendix; References; Comparative Risk Aversion for g-Expected Utility Maximizers; References. Riesz Type Integral Representations for Comonotonically Additive FunctionalsIntroduction; Notation and Preliminaries; Riesz Type Integral Representation Theorems; Conclusions; References; Pseudo-concave Integrals; Introduction; Definitions of Choquet, Sugeno and Lehrer integrals; Pseudo-operations; Pseudo-concave Integral; Concluding Remarks; References; On Spaces of Bochner and Pettis Integrable Functions and Their Set-Valued Counterparts; Introduction; Connecting Pettis to Bochner Integrable Functions; Set-Valued Pettis Integrable Functions; Integrably Bounded Functions. Set-Valued Cone Absolutely SummingMapping Order-Pettis Integrable to Integrably Bounded Functions; References; Upper Derivatives of Set Functions Represented as the Choquet Indefinite Integral; Introduction; Preliminaries; Derivatives of Set Functions; Derivatives, Upper and Lower Derivatives of Set Functions; Two Main Theorems on Upper Derivatives; Conclusions; References; On Regularity for Non-additive Measure; Introduction; Preliminaries; Regularity of Measure; Egoroff's Theorem; References; Autocontinuity from below of Set Functions and Convergence in Measure; Introduction; Preliminaries. Autocontinuity of Set FunctionConvergence inMeasure; References; On Lusin's Theorem for Non-additive Measure; Introduction; Preliminaries; Regularity of Measure; Lusin's Theorem; Applications of Lusin's Theorem; References; Multiple-Output Choquet Integral Models and Their Applications in Classification Methods; Introduction; Definitions; Choquet Integral; Logical Choquet Integral; Vector-Valued Choquet Integral Model; Properties of the Vector-Valued Choquet Integral; Classification; Classification by the Vector-Valued Choquet Integral; Logical Set-Function-Valued Choquet Integral Model. Numerical ExamplesLinear Functions; Fuzzy Switching Function; Conclusions; References; On Convergence Theorems of Set-Valued Choquet Integrals; Introduction; Preliminaries and Notations; MainResults; References; On Nonlinear Correlation of Random Elements; Introduction; Why Nonlinear Correlation?; Entering Copulas; Copulas for Probability Measures; The Case of Random Closed Sets; References; On Fuzzy Stochastic Integral Equations-A Martingale Problem Approach; Introduction; Set-Valued Trajectory Stochastic Integral; Fuzzy Trajectory Stochastic Integral; Fuzzy Stochastic Differential Equation. Applications
Titelhinweis Buchausg. u.d.T.: ‡Nonlinear mathematics for uncertainty and its applications
ISBN ISBN 978-3-642-22833-9
Klassifikation UYQ
COM004000
*00B25
18-06
28-06
34-06
35-06
37-06
46-06
47-06
60-06
62-06
65-06
90-06
91-06
94-06
00A69
006.3
519.2
Q342
Kurzbeschreibung Li Guan
2. Kurzbeschreibung This 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 decisio
1. Schlagwortkette Unsicherheit
Mathematisches Modell
Wahrscheinlichkeitstheoretische Menge
Fuzzy-Maß
Choquet-Kapazität
Kongress
ANZEIGE DER KETTE Unsicherheit -- Mathematisches Modell -- Wahrscheinlichkeitstheoretische Menge -- Fuzzy-Maß -- Choquet-Kapazität -- Kongress
SWB-Titel-Idn 350229023
Signatur Springer E-Book
Bemerkungen Elektronischer Volltext - Campuslizenz
Elektronische Adresse $uhttp://dx.doi.org/10.1007/978-3-642-22833-9
Internetseite / Link Volltext
Siehe auch Volltext
Siehe auch Inhaltstext
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