✦ LIBER ✦

Comparison of the performances of decision aimed algorithms with Bayesian and beliefs basis

✍ Scribed by François Delmotte

Publisher: John Wiley and Sons
Year: 2001
Tongue: English
Weight: 158 KB
Volume: 16
Category: Article
ISSN: 0884-8173
DOI: 10.1002/int.1044

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✦ Synopsis

There are strong views in the literature between the advocates of the Bayesian approach on one hand and the advocates of the belief functions on the other. This paper refers to a few previously published studies showing that, for decision-aimed problems, algorithms using belief functions were much slower than those using a Bayesian approach. Thus, if beliefs are appealing intellectually, they are in fact useless for real applications. This article shows that most of these studies are simply false, because they are based on an erroneous use of the belief functions.

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