Software Quality and Reliability Prediction Using Dempster-Shafer Theory

Mountain river torrents and snow avalanches generate human and material damages with dramatic consequences. Knowledge about natural phenomenona is often lacking and expertise is required for decision and risk management purposes using multi-disciplinary quantitative or qualitative approaches. Expertise is considered as a decision process based on imperfect information coming from more or less r...

In this chapter, Herrera-Mart́ınez’ 2-tuple linguistic representation model is extended for combining imprecise qualitative information using fusion rules drawn from Dezert-Smarandache Theory (DSmT) or from Dempster-Shafer Theory (DST) frameworks. The proposed approach preserves the precision and the efficiency of the combination of linguistic information. Some basic operators on imprecise 2-tup...

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...