Combining nonspecificity measures in Dempster-Shafer theory of evidence. International Journal of General Systems, 40(6):611- 622, 2011.Combining nonspecificity measures in Dempster–Shafer theory of evidence[J] . Joaquín Abellán.International Journal of General Systems . 2011 (6)...
网络证据理论 网络释义 1. 证据理论 2.1.1证据理论(Dempster-Shafer Theory of Evidence)17-18 cdmd.cnki.com.cn|基于 1 个网页
In Adaboost, decisions are made based on the weighted majority vote of several weak classifiers. However, such weighted combination may not give expected accuracy due to the lack of proper uncertainty management. In this paper, we propose to adopt the Dempster Shafer theory (DST) of Evidence ...
Dempster-Shafer证据理论 1. At last,Dempster-Shafer theory of evidenceis used and various information of sensors is taken as evidence to navigate the endoscope. 首先介绍了智能内窥镜导航中视觉传感器和触觉传感器的导航原理及应用情况;然后通过分析各种传感器的数据,对各种传感器的信息进行可信度分配;最后采用Dem...
This chapter collects fragments from current research to form a coherent framework for uncertainty representation and propagation in the Dempster-Shafer theory of evidence (DST). While there are some aspects of DST that have been brought into practice, many other methods important in probabilistic ...
The theory of belief functions, also referred to as evidence theory or Dempster–Shafer theory (DST), is a general framework for reasoning with uncertainty, with understood connections to other frameworks such as probability, possibility and imprecise probability theories. First introduced by Arthur P...
The Dempster-ShaferTheory of Evidence (DST) has been considered as an alternative to prob- abilistic modelling if both a large amount of uncertainty and a conservative treatment of this uncertainty are necessary. Both requirements are normally met in early design stages. Expert estimates replace fie...
Builds on classical probability theory and offers an extremely workable solution to the many problems of artificial intelligence, concentrating on the rapidly growing areas of fuzzy reasoning and neural computing. Contains a collection of previously unpublished articles by leading researchers in the field....
In Adaboost, decisions are made based on the weighted majority vote of several weak classifiers. However, such weighted combination may not give expected accuracy due to the lack of proper uncertainty management. In this paper, we propose to adopt the Dempster Shafer theory (DST) of Evidence ...
Dempster–Shafer theoryInformation fusionEmergency managementQuantitative analysisNatural disasterThe frequency and unpredictability of natural disasters pose serious challenges to emergency management in modern society. Effective emergency management requires not only rapid response, but also accurate assessment of ...