Accession Number : ADP006353
Title : Reasoning with Uncertain and Incomplete Information in Aerospace Applications,
Corporate Author : NATIONAL AEROSPACE LAB AMSTERDAM (NETHERLANDS)
Personal Author(s) : Donker, J. C.
Report Date : SEP 1991
Pagination or Media Count : 16
Abstract : In many real-life application areas such as aerospace, decisions have to be taken based on imperfect knowledge. If decisions makers are to be supported by computer systems, it is desirable that this type of knowledge can be represented. In the past years, new methods have been developed to represent various kinds of imperfectness, such as incompleteness, inexactness or uncertainty. Since 1987, NLR cooperates with the Theoretical Informatics Group of Delft Technical University to study ways in which methods to represent and reason with uncertain or incomplete information can be developed which are both theoretically well-founded and practically applicable. NLR efforts are directed towards problems expected in practical use of those methods. In 1990, we investigated the applicability of the Dempster Shafer theory. We modeled parts of the initiation and identification problems in multi-radar tracking. The application will be described in this paper. It will be shown that the Dempster-Shafer theory promises improvements over the Bayesian approach, but also the latter currently is a more advanced theory than the former.
Descriptors : AEROSPACE SYSTEMS, BAYES THEOREM, COMPUTERS, IDENTIFICATION, PROBLEM SOLVING, REASONING, THEORY, UNCERTAINTY.
Subject Categories : Cybernetics
Distribution Statement : APPROVED FOR PUBLIC RELEASE