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Fuzzy posterior-probabilistic fusion
University of New South Wales, Canberra, ACT 2600, Australia.ORCID iD: 0000-0002-4255-5130
2011 (English)In: Pattern Recognition, ISSN 0031-3203, E-ISSN 1873-5142, Vol. 44, no 5, 1023-1030 p.Article in journal (Refereed) PublishedText
Abstract [en]

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.

Place, publisher, year, edition, pages
2011. Vol. 44, no 5, 1023-1030 p.
Keyword [en]
Information fusion; Permanence of ratios; Probabilistic measures; Fuzzy measures; Fuzzy integrals
National Category
Computer Science
URN: urn:nbn:se:liu:diva-127870DOI: 10.1016/j.patcog.2010.11.014OAI: diva2:928874
Available from: 2016-05-17 Created: 2016-05-13 Last updated: 2016-06-02

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Pham, Tuan D
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