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Proceedings Paper

Automated calculation of nonadditive measures for object recognition
Author(s): Hossein Tahani; James M. Keller
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Paper Abstract

The fuzzy integral has been shown to be a very effective tool in the fusion of information for decision making. It combines objective evidence with possibly subjective information concerning the worth of this evidence as incorporated in a fuzzy measure. In many real applications the degree of importance of a source of information should be computed from a set of training data instead of being supplied subjectively. In this paper a mathematical justifiable approach for the automatic generation of fuzzy density values (the basis of the fuzzy measure) from training data is presented.

Paper Details

Date Published: 1 February 1991
PDF: 11 pages
Proc. SPIE 1381, Intelligent Robots and Computer Vision IX: Algorithms and Techniques, (1 February 1991); doi: 10.1117/12.25169
Show Author Affiliations
Hossein Tahani, Univ. of Missouri/Columbia (United States)
James M. Keller, Univ. of Missouri/Columbia (United States)


Published in SPIE Proceedings Vol. 1381:
Intelligent Robots and Computer Vision IX: Algorithms and Techniques
David P. Casasent, Editor(s)

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