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On Possibilistic and Probabilistic Information Fusion

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  • Ronald R. Yager

    (Iona College, USA)

Abstract

This article discusses the basic features of information provided in terms of possibilistic uncertainty. It points out the entailment principle, a tool that allows one to infer less specific from a given piece of information. The problem of fusing multiple pieces of possibilistic information is and the basic features of probabilistic information are described. The authors detail a procedure for transforming information between possibilistic and probabilistic representations, and using this to form the basis for a technique for fusing multiple pieces of uncertain information, some of which is possibilistic and some probabilistic. A procedure is provided for addressing the problems that arise when the information to be fused has some conflicts.

Suggested Citation

  • Ronald R. Yager, 2011. "On Possibilistic and Probabilistic Information Fusion," International Journal of Fuzzy System Applications (IJFSA), IGI Global, vol. 1(3), pages 1-14, July.
    • Handle: RePEc:igg:jfsa00:v:1:y:2011:i:3:p:1-14
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    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijfsa.2011070101
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