A target identification comparison of Bayesian and Dempster-Shafer multisensor fusion

Dynamic decision making: a comparison of approaches

“…Likewise, an automated decision system has to account for this sensor impreciseness before estimating the actual situation. In the DDN 'wise pilot' system, before being used for inference purposes, the information coming from a sensor passes through a special node called confusion matrix (Buede and Girardi, 1997), which has the same states as the sensor's input node. The probability distribution between the input node and the confusion matrix node will reflect the (im)preciseness of that sensor.…”

Evidence theoretic classification of ballistic missiles

“…While Bayesian methods are theoretically optimal under certain conditions, such applications require estimates of prior probabilities and decisions are made from disjoint class hypothesis sets. The Dempster-Shafer theory (DST) of evidence potentially provides an alternative approach for object classification when conditions are not optimal [17][18][19][20][21][22][23][24][25]. The DST of evidence is one of the two prevalent classification schemes that handle uncertainty/indeterministic inputs using the theory of evidence or degree of belief, the other being the Bayesian inference method.…”

A novel risk-based analysis for the production system under epistemic uncertainty

“…The DST of Dempster-Shafer (Dempster 1967) upon multidimensional sources in which information is obtained from some various sources had lots of application, and some justifications for the appropriateness of this method for the inference of knowledge have been indicated. DempsterShafer theory has been applied successfully in various domains such as face recognition (Ip and Ng 1994), and so far, it has had also broad applications in the discussions of diagnosis, statistical classification (Denoeux 1995), data fusion (Telmoudi and Chakhar 2004), environmental impact assessment (Wang et al 2006), knowledge reduction (Wu et al 2005), organizational self-assessment (Siow et al 2001), regression analysis (Monney 2003), multi-criterion decision-making analyses (Bauer 1997;Beynon et al 2001), pattern classification (Binaghi and Madella 1999;Binaghi et al 2000), reasoning and logic (Benferaht et al 2000), medical diagnosis (Yen 1989), safety analysis (Liu et al 2004;Wang and Yang 2001), expert systems (Beynon et al 2001;Biswas et al 1988), target identification (Buede and Girardi 1997), and uncertainty (Klir and Wierman 1998). In this study, researchers have applied the theory of Dempster-Shafer as well in accounting for the tools failure risk in a production organization.…”