Data fusion technology can be the best way to extract useful information from multiple sources of data. It has been widely applied in various applications. This paper presents a data fusion approach in multimedia data for event detection in twitter by using Dempster-Shafer evidence theory. The methodology applies a mining algorithm to detect the event. There are two types of data in the fusion....

The Dempster-Shafer theory of belief functions is an important approach to deal with uncertainty in AI. In the theory, belief functions are defined on Boolean algebras of events. In many applications of belief functions in real world problems, however, the objects that we manipulate is no more a Boolean algebra but a distributive lattice. In this paper, we extend the Dempster-Shafer theory to t...

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 ...

The subject of this paper is the location of objects in the Euclidian plane under partial information So there is a need to represent uncertain and imprecise information about relative position of objects For this pur pose the well founded and persuasive theory of hints will be used Kohlas Monney a This general theory originates to Glenn Shafer s mathe matical theory of evidence Shafer Its most...

This paper responds to a number of criticisms of Dempster-Shafer theory made by Judea Pearl. He criticises Dempster-Shafer belief for not obeying the laws of Bayesian belief," however, these laws lead to well-known problems in the face of ignorance, and seem unreasonably restrictive. It is argued that it is not reasonable to expect a measure of belief to obey Pearl's sandwich principle. The sta...

D numbers theory is an extension of Dempster–Shafer evidence theory. It eliminates the constraints mutual exclusion and completeness under frame discernment theory, so it has been widely used to deal with uncertainty modelling, but if cannot effectively problem missing information, sometimes unreasonable conclusions will be drawn. This paper proposes a new type integration representation number...

In this paper we develop a method for conflict management within Dempster-Shafer theory. The idea is that each piece of evidence is discounted in proportion to the degree that it contributes to the conflict. This way the contributors of conflict are managed on a case−by−case basis in relation to the problem they cause. Discounting is performed in a sequence of incremental steps, with conflict u...