Fuzzy posterior-probabilistic fusion |
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Authors: | Tuan D Pham [Author Vitae] |
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Affiliation: | School of Engineering and Information Technology, University of New South Wales, Canberra, ACT 2600, Australia |
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Abstract: | The paradigm of the permanence of updating ratios, which is a well-proven concept in experimental engineering approximation, has recently been utilized to construct a probabilistic fusion approach for combining knowledge from multiple sources. This ratio-based probabilistic fusion, however, assumes the equal contribution of attributes of diverse evidences. This paper introduces a new framework of a fuzzy probabilistic data fusion using the principles of the permanence of ratios paradigm, and the theories of fuzzy measures and fuzzy integrals. The fuzzy sub-fusion of the proposed approach allows an effective model for incorporating evidence importance and interaction. |
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Keywords: | Information fusion Permanence of ratios Probabilistic measures Fuzzy measures Fuzzy integrals |
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