Three commonly used techniques for combining uncertain evidence are explored with reference to different three types of land cover knowledge: numerical distributions, relative spectral distances, and human expert “rules of thumb”. In attempting to combine such evidence Bayes’, Dempster-Shafer and Endorsement theories answer different questions depending on nature of the land cover evidence (com...

This contribution deals with a belief processing which enables managing of multiple and overlapping elements of a frame of discernment. An outline of the Dempster-Shafer theory for such cases is presented, including several types of constraints for simplification of its large computational complexity. DSmT — a new theory rapidly developing the last five years — is briefly introduced. Finally, i...

Software Quality and Reliability Prediction Using Dempster-Shafer Theory

Abs t rac t . In this paper, a new approach for retrieval from semistructured photographic collections is described. We have developed a retrieval model based on the Dempster-Shafer theory of evidence combination. Basic concepts of the Dempster-Shafer theory are explained and the suitability of this theory for information retrieval is explored. A retrieval model for a semi-structured photograph...

An often mentioned obstacle for the use of Dempster-Shafer theory for the handling of uncertainty in expert systems is the computational complexity of the theory. One cause of this complexity is the fact that in Dempster-Shafer theory the evidence is represented by a belief function which is induced by a basic probability assignment, i.e. a probability measure on the powerset of possible answer...

Features of oil spills and look-alikes in polarimetric synthetic aperture radar (SAR) images always play an important role spill detection. Many detection algorithms have been implemented based on these features. Although environmental factors such as wind speed are to distinguish look-alikes, some do not consider the factors. To more accurately image features, a new algorithm Dempster-Shafer e...

In Dempster-Shafer theory, belief functions induced by distinct pieces of evidence can be combined by Dempster's rule of combination. The concept of distinctness has not been formally defined. We present a tentative definition of the concept of distinctness and compare this definition with the definition of stochastic independence described in probability theory.