한국지능시스템학회:학술대회논문집 (Proceedings of the Korean Institute of Intelligent Systems Conference)
- 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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- Pages.28-31
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- 2003
Incomplete Information Recognition Using Fuzzy Integrals Aggregation: With Application to Multiple Matchers for Image Verification
- Kim, Seong H. (Systems Design Engineering, University of Waterloo) ;
- M. Kamel (Systems Design Engineering, University of Waterloo)
- 발행 : 2003.09.01
초록
In the present work, a main purpose is to propose a fuzzy integral-based aggregation framework to complementarily combine partial information due to lack of completeness. Based on Choquet integral (CI) viewed as monotone expectation, we take into account complementary, non-interactive, and substitutive aggregations of different sources of defective information. A CI-based system representing upper, conventional, and lower expectations is designed far handling three aggregation attitudes towards uncertain information. In particular, based on Choquet integrals for belief measure, probability measure, and plausibility measure, CI