Dempster–Shafer theory - Wikipedia
The theory of belief functions, also referred to as evidence theory or Dempster–Shafer theory (DST), is a general framework for reasoning with uncertainty, with understood connections to other frameworks such as probability, possibility and imprecise probability theories.
Dempster-Shafer's theory（证据理论） - 知乎专栏
别称：证据理论、 Dempster-Shafer理论 、DS理论。 优点：简单理解，我们通过实验获取数据比理论推导要更直观更容易一些，而证据理论的核心—— Dempster 合成规则 ，能综合不同专家或者数据源的知识或者数据，这就使得证据理论在 专家系统 、 信息融合 等领域 ...
Dempster–Shafer theory（D-S证据理论）初探 - 郑瀚 - 博客园
2020年4月18日 · Shafer在Dempster研究的基础上提出了证据理论，把Dempster合成规则推广到更为一般的情况，并与1976年出版《证据的数学理论》，这一著作的出版标志着证据理论真正的诞生，为了纪念两位学者对证据理论所做的贡献，人们把证据理论称为Dempster-Shafer证据理 …
ML | Dempster Shafer Theory - GeeksforGeeks
2024年8月22日 · Dempster-Shafer Theory was given by Arthur P. Dempster in 1967 and was later developed by his student Glenn Shafer in 1976. This theory was released because of the following reason:- Bayesian theory is only concerned about single evidence. Bayesian probability cannot describe ignorance. Dempster Shafer Theory. Dempster Shafer Theory(DST) is an ...
An important aspect of this theory is the combination of evidence obtained from multiple sources and the modeling of conflict between them. This report surveys a number of possible combination rules for Dempster-Shafer structures and provides examples of the implementation of these rules for discrete and interval-valued data.
信息融合理论Dempster–Shafer theory总结 - 知乎 - 知乎专栏
最近在看百度Apollo的传感器融合部分代码的时候，里面提及了Dempster–Shafer theory，这个理论是决策学领域比较重要的理论。 使用这个理论，可以对自动驾驶车中传感器数据进行融合。
The Dempster-Shafer theory uses a number in the range [0,1] to indicate belief in a hypothesis given a piece of evidence. This number is the degree to which the evidence supports the hypothesis. Recall that evidence against a hypothesis is …
The Dempster-Shafer theory of evidence (here, DS theory, for brevity), some times called evidential reasoning (cf. Lowrance et al. [Lowrance et al., 1981]) or belieffunction theory, is a mechanism formalised by Shafer ([Shafer, 1976])
Classic Works of the Dempster-Shafer Theory of Belief Functions …
This book brings together a collection of classic research papers on the Dempster-Shafer theory of belief functions. By bridging fuzzy logic and probabilistic reasoning, the theory of belief functions has become a primary tool for knowledge representation and uncertainty reasoning in expert systems.
Dempster-Shafer theory - Encyclopedia of Mathematics
2020年7月1日 · A theory initiated by A.P. Dempster and later developed by G. Shafer . It deals with the representation of non-probabilistic uncertainty about sets of facts (belief function) and the accumulation of "evidence" stemming from independent sources (Dempster's rule of evidence combination) and with reasoning under incomplete information (Dempster's ...