Approach of Contezt-aware Computing with Uncertainty for Performance Evaluation
Context-aware computing with uncertainty includes obtaining context information, forming model and fusing of aware context, managing context information. We focus on modeling and computing of aware context information with uncertainty for making dynamic decision of performance evaluation of enterprise leader in this paper. Our insight is to combine dynamic context-aware computing with improved Random Set Theory (RST) and extended D-S Evidence Theory (EDS). We re-examine formalism of random set, argue the limitation of the direct numerical approaches , give new modeling mode based on RST for aware context and propose our computing approach of modeled aware context, extend classic D-S Evidence Theory after considering contexts reliability, time-efficiency and relativity, compare relative computing methods, enumerate experimental examples of enterprise leader and give the e-valuation. By comparisons, the validity of new context-aware computing approach based on RST or EDS for performance evaluation with uncertainty information has been tested successfully.
Seamless mobility Contezt-aware Random Set Theory D-S Evidence Theory Performance evaluation
HUANG Xiao-bin SHE Yuan-guan
School of Economics and Management,University of Science and Technology Beijing, P.R.China
国际会议
4th International Symposium on Soft Science Innovation Nation：Theory and Practice(第四届软科学国际研讨会)
北京
英文
430-446
2006-11-28（万方平台首次上网日期，不代表论文的发表时间）