Abstract. Dempster-Shafer theory, which can be regarded as a generalisation of probability theory, is a widely used formalism for reasoning with uncertain infor-mation. The application of the theory hinges on the use of a rule for combining evidence from different sources. A number of different combination rules have been applied, each of which makes certain assumptions about the evidence. Here we describe several of these rules as argument schemes, using critical questions to capture the assumptions behind the rules. An example illustrates how we imagine these argument schemes might be used.
Dealing with uncertainty problems in intelligent systems has attracted a lot of attention in the AI ...
Abstract—In this paper we present an analysis of the use of Dempster’s rule of combination, its cons...
AbstractThe Dempster-Shafer theory of evidential reasoning has been proposed as a generalization of ...
Dempster-Shafer theory offers an alternative to traditional probabilistic theory for the mathematica...
Abstract. This paper presents the case for using the Dempster-Shafer theory of evidence and a deriva...
This paper introduces the idea of using the Dempster-Shafer theory of evidence with qualitative valu...
By analyzing the relationships among chance, weight of evidence and degree of belief, it is shown t...
In Dempster-Shafer theory it is claimed that the pooling of evidence is reflected by Dempster's rul...
The method of reasoning with uncertain information known as Dempster-Shafer theory arose from the re...
This paper introduces the idea of using the Dempster-Shafer theory of evidence with qualitative valu...
AbstractThe Dempster-Shafer theory of evidence is developed here in a very general setting. First, i...
The objective of this paper is to describe the potential offered by the Dempster–Shafer theory (DST)...
The objective of this paper is to describe the potential offered by the Dempster–Shafer theory (DST)...
The initial work introducing Dempster-Shafer (D-S) theory is found in Dempster (1967) and Shafer (19...
The initial work introducing Dempster-Shafer (D-S) theory is found in Dempster (1967) and Shafer (19...
Dealing with uncertainty problems in intelligent systems has attracted a lot of attention in the AI ...
Abstract—In this paper we present an analysis of the use of Dempster’s rule of combination, its cons...
AbstractThe Dempster-Shafer theory of evidential reasoning has been proposed as a generalization of ...
Dempster-Shafer theory offers an alternative to traditional probabilistic theory for the mathematica...
Abstract. This paper presents the case for using the Dempster-Shafer theory of evidence and a deriva...
This paper introduces the idea of using the Dempster-Shafer theory of evidence with qualitative valu...
By analyzing the relationships among chance, weight of evidence and degree of belief, it is shown t...
In Dempster-Shafer theory it is claimed that the pooling of evidence is reflected by Dempster's rul...
The method of reasoning with uncertain information known as Dempster-Shafer theory arose from the re...
This paper introduces the idea of using the Dempster-Shafer theory of evidence with qualitative valu...
AbstractThe Dempster-Shafer theory of evidence is developed here in a very general setting. First, i...
The objective of this paper is to describe the potential offered by the Dempster–Shafer theory (DST)...
The objective of this paper is to describe the potential offered by the Dempster–Shafer theory (DST)...
The initial work introducing Dempster-Shafer (D-S) theory is found in Dempster (1967) and Shafer (19...
The initial work introducing Dempster-Shafer (D-S) theory is found in Dempster (1967) and Shafer (19...
Dealing with uncertainty problems in intelligent systems has attracted a lot of attention in the AI ...
Abstract—In this paper we present an analysis of the use of Dempster’s rule of combination, its cons...
AbstractThe Dempster-Shafer theory of evidential reasoning has been proposed as a generalization of ...