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The Dempster-Shafer (DS) theory is a powerful general framework for reasoning under uncertainty. While the strength of the DS theoretic (DST) framework in its ability to handle a wider variety of data imperfections is not in dispute, a major criticism cast towards DST evidential reasoning is the heavy computational burden it entails. If the advantages offered by DS theory is to be fully realized,...
Helper robots will be critical in many sectors: helping our elderly and disabled in assisted living facilities, conducting search-and-rescue missions in unforgiving terrain to save human lives, assisting our astronauts on the space station, or even monitoring our surroundings to keep us safe from national security threats. The ultimate goal of our research is to endow robots in these critical sectors...
To deal with sensor reliability in evidence modeling, the sensor credibility is evaluated by means of the statistical characters. Then an evidence model based on sensor credibility is established. When modeling, plausibility discount strategy is used to integrate the credibility into the evidence model. The total uncertainty of the evidence model decreases. The simulation example shows that the method...
Traditional security mechanisms can not satisfy the pervasive computing environment commendably. A dynamic trust model is proposed, utilizing the Dempster-Shafer (D-S) theory to model the diminution of the hypothesis set on trust evaluation with the accumulation of evidence. The trust expression of relationship between entities, the general formula of direct trust, indirect trust and integrated trust...
Incorporation of soft evidence into the fusion process poses considerable challenges, including issues related to the material implications of propositional logic statements, contradictory evidence, and non-identical scopes of sources providing soft evidence. The conditional approach to Dempster-Shafer (DS) theoretic evidence updating and fusion provides a promising avenue for overcoming these challenges...
As the quality of the repaired image is significantly influenced by the filling order of the boundary pixels, it tries to compute priority to improve the exemplar-based algorithm by means of fusion the D-S evidence theory and TV model, according to analyzing the pixel's surrounding image features. The experimental results of the algorithm is given and proved to be effective in increasing the repaired...
We present a shilling behavior detection and verification approach for online auction systems. Assuming a model checking technique to detect shill suspects in real-time, we focus on how to verify shill suspects using Dempster-Shafer theory of evidence. To demonstrate the feasibility of our approach, we provide a case study using real eBay auction data. The analysis results show that our approach can...
Multiple model methods have been generally considered as the mainstream approach for estimating the state of dynamic systems under motion model uncertainty. In this paper, a multiple model method based on belief function theory is proposed. This method handles the case of systems with an unknown and variant motion model. First, a set of candidate models is selected and an associated Dempster-Shafer...
The solving processes for decision making problems based on the use of the Dempster-Shafer (D-S) theory can be accomplished in different ways according to the necessities of each single problem. In this contribution we present a decision making scheme based on the D-S defined in a linguistic framework and then, we propose the use of an hybrid averaging operator (2-THA) that use the 2-tuple linguistic...
In many data mining applications, a large number of expert statements have to be fused, for example statements concerning class labels of data samples. Often, the experts do not agree, that is, they hold conflicting beliefs. There exist various combination rules that could be used to fuse such expert knowledge. We claim that, in addition to existing requirements in combination rules, the numerical...
In this paper, three different frameworks for uncertainty description are considered: probability and possibility theories, and Dempster-Shafer theory of belief functions. For all of them special operators of composition are introduced, which enable, among others, defining the concept of factorization (used here as an alternative notion for conditional independence) meeting all the semigraphoid axioms...
Principal ideas of the minC combination are recalled. A mathematical structure of generalized frames of discernment is formalized. A generalized schema for a computation of the minC combination is presented. Conflicting belief masses redistribution among non-conflicting focal elements is overviewed. Final general formulas for computation of the minC combination are presented. Some examples of computation...
Recent cyber security research has focused on providing a situation awareness of computer networks by identifying incoming attacks. FuSIA: Future Situation and Impact Awareness seeks to extend this situation awareness via estimating plausible futures of ongoing attacks. Plausible futures, derived based on current progress of attacks, are projected situations that computer security analysts may use...
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