In the domain of ubiquitous computing, the ability to identify the occurrence of situations is a core function of being 'contextaware'. Given the uncertain nature of sensor information and inference rules, reasoning techniques that cater for uncertainty hold promise for enabling the inference process. In our work, we apply the Dempster Shafer theory of evidence to determine situation occurrence...

Dempster-Shafer theory is widely applied to uncertainty modelling and knowledge reasoning due to its ability of expressing uncertain information. However, some conditions, such as exclusiveness hypothesis and completeness constraint, limit its development and application to a large extend. To overcome these shortcomings in Dempster-Shafer theory and enhance its capability of representing uncert...

We study different approaches for decision making with linguistic information. We describe some basic linguistic aggregation operators. We then analyze the problem of linguistic decision making with Dempster-Shafer (D-S) belief structure. We suggest the use of different types of linguistic aggregation operators in the D-S framework such as the linguistic ordered weighted averaging (LOWA) operat...

Multiagent systems (MASs) have a wide range of industrial applications due to agents’ advantages. However, because the dynamic behaviors, it is challenge ensure quality service they present. In this paper, address problem, we propose an adaptive agent trust estimation model where agents may decide go from genuine malicious or other way around. proposed model, both direct and indirect reputation...

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...

Road network traffic management and control are the key mechanisms to alleviate urban congestion. With this study, we aimed characterize flow state of road networks using Macroscopic Fundamental Diagram (MFD) support area control. The core property an MFD is that maximized when stays at optimal accumulation state. can be used optimize temporal spatial distribution with applications such as gati...