NDLI: Comparison of techniques for modeling uncertainty in a signal detection task

Content Provider	IEEE Xplore Digital Library
Author	Boston, J.R.
Copyright Year	1993
Description	Author affiliation: Dept. of Electr. Eng., Pittsburgh Univ., PA, USA (Boston, J.R.)
Abstract	A simulation study was performed to compare the performances of signal detection models based on Bayesian, Dempster-Shafer, and fuzzy set theories. The models combined two different parameters calculated from each waveform. The models were applied to a set of brainstem auditory evoked potential waveforms, and the effects of errors in estimates of waveform parameters were evaluated. With correct parameter estimates, all the models gave similar classification results, and the nonBayesian detectors were able to provide good estimates of the Bayesian log likelihood ratio. The nonBayesian detectors were more robust than the Bayesian detector when parameter statistics were in error. While the generality of these results is limited because of the structured nature of the simulation, they give empirical support to the validity of nonBayesian methods to combine evidence in situations in which Bayesian methods are not appropriate.
Starting Page	302
Ending Page	309
File Size	779148
Page Count	8
File Format	PDF
ISBN	0818638508
DOI	10.1109/ISUMA.1993.366752
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1993-04-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Uncertainty Signal detection Bayesian methods Statistics Brain modeling Detectors Probability Fuzzy set theory Parameter estimation Error analysis
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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