Automated calculation of nonadditive measures for object recognition

Hossein Tahani; James M. Keller

doi:10.1117/12.25169

1 February 1991 Automated calculation of nonadditive measures for object recognition

Hossein Tahani, James M. Keller

Proceedings Volume 1381, Intelligent Robots and Computer Vision IX: Algorithms and Techniques; (1991) https://doi.org/10.1117/12.25169
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States

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.

Citation Download Citation

Hossein Tahani and James M. Keller "Automated calculation of nonadditive measures for object recognition", Proc. SPIE 1381, Intelligent Robots and Computer Vision IX: Algorithms and Techniques, (1 February 1991); https://doi.org/10.1117/12.25169

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