Approximation by filter functions
June 20, 2018 Β· Declared Dead Β· π IJCSR
"No code URL or promise found in abstract"
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Authors
Ivo DΓΌntsch, GΓΌnther Gediga, Hui Wang
arXiv ID
1806.07685
Category
cs.AI: Artificial Intelligence
Citations
0
Venue
IJCSR
Last Checked
4 months ago
Abstract
In this exploratory article, we draw attention to the common formal ground among various estimators such as the belief functions of evidence theory and their relatives, approximation quality of rough set theory, and contextual probability. The unifying concept will be a general filter function composed of a basic probability and a weighting which varies according to the problem at hand. To compare the various filter functions we conclude with a simulation study with an example from the area of item response theory.
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