C. 基于Dempster-Shafer理论的可信AI方法 我们的可信AI分割方法包括三个主要组成部分:1)一个主干AI分割算法;2)一个后备分割算法;3)一个故障保护方法,检测AI算法分割与信任合同之间的冲突区域,并在这些区域切换到后备算法。图1中给出了...
Lemmer, "Confidence Factors, Empiricism and the Dempster-Shafer Theory of . .Evidence," in Uncertainty in AI, L.N. Kanal, J F Lemmer, eds., ElsevierNorth-Holland, New York, N.Y., 1986. [Maksym, et al., 19831 J. Maksym, A. Bonner, et al., "Machine Analysis of Acoustical Signals...
(SCIALSCIENCEEDITIN) 2000年6月 Jun.,2000 Dempster-Shafer 证据理论及其解释 熊卫 (中山大学逻辑与认知研究所,广州510275) 摘要:Dempster-Shafer证据理论是一种不确定推理理论,它力图克服Bayesian理论的一些困难。 目前该理论的解释主要有上下概率解释,随机译码器范例和可迁移信念模型。然而,这些解释与该理 论均不...
c○ 2006 PIPS Neural Network Combining Classifier Based on Dempster-Shafer Theory In this paper, we propose an improved version of RBF network based on Evidence Theory (NN- ET) using one input layer and two hidden layers and one output layer, to improve classifier combination and recognition re...
Computer ScienceG. Provan, "A logical interpretation of dempster-shafer theory, with application to visual recognition," in Proceedings of the Fifth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-89). Corvallis, Oregon: AUAI Press, 1989, pp. 287-294....
In this paper we present Dempster-Shafer theory as a framework within which the results of a Bayesian and a fuzzy classifier can be combined to produce a better final classification. We deal with the case when the two original classifiers use different classes for the outcome, and we also pre...
Implementing the Dempster-Shafer theory in a specific problem generally involves solving two related problems. First, we must sort the uncertainties in the problem into a priori independent items of evidence. Second, we must carry out Dempster's rule computationally. These two problems and and their...
sensors and infrared sensors. This system acquires and processes the similar and heterogeneous sensor′s signal. To present the data of processing results with the form of the probability. The function of data fusion in multi-sensor system further integration by Dempster-Shafer evidence theory. ...
A Dempster-Shafer Theory Based Exposition of Probabilistic Reasoning in Consumer Choice This chapter considers a probabilistic reasoning based investigation of an information system concerned with consumer choice. The DS/AHP technique for mult... MJ Beynon,L Moutinho,C Veloutsou - 《Biochemical Journal...
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...