Issues of formalisirig and interpreting epistemic uncertainty have always played a prominent role in Artificial Intelligence. The Dempster-Shafer (DS) theory of partial beliefs is one of the most-well known formalisms to address the partial knowledge. Similarly to the DS theory, which is a généralisation of the classical probability theory, fuzzy logie provides an alternative reasoning apparatu...

The initial work introducing Dempster-Shafer (D-S) theory is found in Dempster (1967) and Shafer (1976). Since its introduction the very name causes confusion, a more general term often used is belief functions (both used intermittently here). Nguyen (1978) points out, soon after its introduction, that the rudiments of D-S theory can be considered through distributions of random sets. More furt...

The evaluation of innovation capability (IC) plays a key role in an age keen competition driven by modern technologies, since it enables organizations to review their management process and adjust corresponding policies. Moreover, the IC is, fact, multicriteria with high uncertainty, market environments competitors’ performance are both dynamic environment. Therefore, under uncertainty is vital...

The processing of uncertain information has always been a hot topic of research since mainly the 18th century. Up to the middle of the 20th century, most theoretical advances have been devoted to the theory of probabilities through the works of eminent mathematicians like J. Bernoulli (1713), A. De Moivre (1718), T. Bayes (1763), P. Laplace (1774), K. Gauss (1823), S. Poisson (1837), E. Borel (...

The goal of this paper is to study the connection between Dempster-Shafer theory and probabilistic argumentation systems. By introducing a general method to translate probabilistic argumentation systems into corresponding Dempster-Shafer belief potentials, its contribution is twofold. On the one hand, the paper proposes probabilistic argumentation systems as a convenient and powerful modeling l...

Although UNIX is considered a very stable and secure platform, the development of Intrusion Detection Systems (IDS) is essential as current and future generations of hackers are continuously attempting to undermine its integrity. The empirical experiment of multiple simultaneous threat detection system proved that use of hybrid data fusion model of Bayesian, Dempster Shafer and extended Dempste...

This paper presents an applied practical comparison of Bayesian and Dempster-Shafer techniques useful for managing uncertainty in sensing. Three formulations of the same example are presented: a Bayesian, a naive Dempster-Shafer, and a Dempster-Shafer approach using a reened frame of discernment. Both the Bayesian and Dempster-Shafer (with a reened frame of discernment) yield similar results; h...

The financial statement audit is the process of collecting, evaluating, and aggregating relevant items of evidence pertaining to various management assertions related to the financial statement accounts to determine whether the company’s financial statements present fairly its financial position. The Dempster-Shafer theory [1] of belief functions has been argued to be an appropriate framework f...

Dempster-Shafer evidence (DSE) theory, which allows combining pieces of from different data sources to derive a degree belief function that is type fuzzy measure, general framework for reasoning with uncertainty. In this framework, how optimally manage the conflicts multiple in DSE remains an open issue support decision making. The existing conflict measurement approaches can achieve acceptable...