Approach Comparison on Context-Aware Computing with Uncertainty

摘要

Context-aware computing with uncertainty includes forming model,fusing of aware context, managing context information and so on. Approachcom-parison on computing of aware context with uncertainty for makingdynamic deci-sion is focused in this paper. We compare dynamic context-awarecomputing with improved Random Set Theory (RST) and extended D-Sevidence Theory (EDS). We give new modeling mode based on RST for awarecontext and our computing approach of modeled aware context, extend classicD-S Evidence Theory after considering context's feature. Then comparerelative computing methods, enu-merate experimental examples and give theevaluation. By comparisons, the more validity of new context-aware computingapproach based on RST than EDS with uncertainty information has been testedsuccessfully.