An interval dempster-shafer approach

An Extended Approach for Dempster-Shafer Theory

The modeling of epistemic knowledge is a necessity of most systems dealing with some sort of artificial reasoning. There a re several formalisms able to mathematically model someone’s degrees of belief. A very popular one is the Bayesian Theory, which is based on a prior knowledge of a probability distribution. Another model is the Theory of Evidence, or DempskrShafer Theory, which provides a m...

A Dempster-Shafer Reasoning Theory Approach

One of the problems usually discussed in autonomous mobile robot navigation is how to build a map of the environment where the robot is navigating. In the case of indoor navigation, a suitable method to do this mapping is the fusion of the data that are gathered from the several sensors, which are mounted on the robot. Here, a mobile robot equipped just with range finding sensors has been suppo...

Fault Diagnosis: a Dempster-Shafer Theory Approach

Fault-Tolerant Interval Estimation Fusion By Dempster-Shafer Theory

Fault tolerance is an important issue in network design because sensor networks must work in a dynamic, uncertain situation. In this paper, using DempsterShafer theory of evidence, we propose several new faulttolerant interval integration functions, which give interval estimate fusion outputs and the corresponding belief levels, depending on prior information and practical requirements. Not onl...

Dempster-Shafer Argument Schemes

Dempster-Shafer theory, which can be regarded as a generalisation of probability theory, is a widely used formalism for reasoning with uncertain information. 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 describ...