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Springer Uncertainty Research

Springer Uncertainty Research
3 Jahrgänge | 2015 - 2019

Beschreibung

Springer Uncertainty Research is a book series that seeks to publish high quality monographs, texts, and edited volumes on a wide range of topics in both fundamental and applied research of uncertainty. New publications are always solicited. This book series provides rapid publication with a world-wide distribution. Editor-in-Chief Baoding Liu Department of Mathematical Sciences Tsinghua University Beijing 100084, China http://orsc.edu.cn/liu Email: liu@tsinghua.edu.cn Executive Editor-in-Chief Kai Yao School of Management University of Chinese Academy of Sciences Beijing 100190, China http://orsc.edu.cn/~kyao Email: yaokai@ucas.ac.cn

Alle Bücher der Reihe Springer Uncertainty Research

2019 | Buch

Uncertain Renewal Processes

This book explores various renewal processes in the context of probability theory, uncertainty theory and chance theory. It also covers the applications of these renewal processes in maintenance models and insurance risk models. The methods used …

2016 | Buch

Uncertain Differential Equations

This book introduces readers to the basic concepts of and latest findings in the area of differential equations with uncertain factors. It covers the analytic method and numerical method for solving uncertain differential equations, as well as …

2015 | Buch

Uncertainty Theory

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