The Dempster-Shafer theory of evidence accumulation is one of the main tools for combining data obtained from multiple sources. In this paper a special case of combination of two bodies of evidence with non-zero conflict coefficient is considered. It is shown that application of the Dempster-Shafer rule of combination in this case leads to an evaluation of masses of the combined bodies that is ...

The Dempster-Shafer Theory of Evidence (DST) has been considered as an alternative to probabilistic modelling if both a large amount of uncertainty and a conservative treatment of this uncertainty are necessary. Both requirements are normally met in early design stages. Expert estimates replace field data and hardly any accurate test results are available. Therefore, a conservative uncertainty ...

Dempster-Shafer evidence theory has been extensively used in many information fusion systems since it was proposed by Dempster and extended by Shafer. Many scholars have been conducted on conflict management of Dempster-Shafer evidence theory in past decades. However, how to determine a potent parameter to measure evidence conflict, when the given environment is in an open world, namely the fra...

The multi-sensor fusion can provide more accurate and reliable information compared to information from each sensor separately taken. Moreover, the data from multiple heterogeneous sensors present in the medical surveillance systems have different degrees of uncertainty. Among multisensor data fusion techniques, Bayesian methods and evidence theories such as Dempster-Shafer Theory (DST), are co...

An intrusion detection system (IDS) detects unauthorized manipulations of computer systems. Operation as feature reduction (including feature extraction and feature selection) plays an important role in the sense of improving classification performance and reducing the computational complexity of intrusion detection system. Feature reduction is even more important at online detection when less ...

Evidential C-Means (ECM) is a technique for cluster analysis, which has a methodology based on the Dempster-Shafer theory of evidence (DST). To date this technique has been theoretically discussed but has had limited application. Based on DST, ECM facilitates the association of objects to sets of clusters, rather than simply a single cluster. One feature of ECM is the facility for classifying c...

The multi-sensor fusion can provide more accurate and reliable information compared to information from each sensor separately taken. Moreover, the data from multiple heterogeneous sensors present in the medical surveillance systems have different degrees of uncertainty. Among multi-sensor data fusion techniques, Bayesian methods and evidence theories such as Dempster-Shafer Theory (DST), are c...

Software risk management is an important factor in ensuring software quality. Therefore, assessment has become a significant and challenging research area. The aim of this study to establish data-driven model named DDERM. In the proposed model, experts’ assessments probability severity can be transformed into basic assignments (BPAs). Deng entropy was used measure uncertainty evaluation calcula...