Tekijä: Yuan-Fang Li (ed.); Wei Hu (ed.); Jin Song Dong (ed.); Grigoris Antoniou (ed.); Zhe Wang (ed.); Jun Sun (ed.); Yang ( Liu Kustantaja: Springer (2016) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Xiang Li (ed.); Xiaofan Wu (ed.); Binglian Liu (ed.); Ling Wang (ed.); Jun Liu (ed.) Kustantaja: Springer (2023) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Heng Tao Shen (ed.); Jinbao Li (ed.); Minglu Li (ed.); Jun Ni (ed.); Wei Wang (ed.) Kustantaja: Springer (2006) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Weiguang Huang (ed.); Mingquan Wang (ed.); Jun WANG (ed.); Kun GAO (ed.); Song LI (ed.); Chen Liu (ed.) Kustantaja: Springer (2016) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Jun Zhao (ed.); Frank van Harmelen (ed.); Jie Tang (ed.); Xianpei Han (ed.); Quan Wang (ed.); Xianyong Li (ed.) Kustantaja: Springer (2019) Saatavuus: Noin 17-20 arkipäivää
Springer Sivumäärä: 709 sivua Asu: Pehmeäkantinen kirja Julkaisuvuosi: 2016, 23.08.2016 (lisätietoa) Kieli: Englanti
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 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.
