Abstract
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.
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Wang, Z., Zhang, D., Li, A., Huang, X., Peng, H. (2007). Approach Comparison on Context-Aware Computing with Uncertainty. In: Hui, Kc., et al. Technologies for E-Learning and Digital Entertainment. Edutainment 2007. Lecture Notes in Computer Science, vol 4469. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73011-8_35
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DOI: https://doi.org/10.1007/978-3-540-73011-8_35
Publisher Name: Springer, Berlin, Heidelberg
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