A mathematical model of uncertain information

  • Chun-Hung Tzeng
Track 2: Artificial Intelligence
Part of the Lecture Notes in Computer Science book series (LNCS, volume 507)


This paper introduces a mathematical evidence model for uncertain information in artificial intelligence. Each evidence model contains prior information as well as possible new evidence to appear later. Both Bayesian probability distribution and Dempster-Shafer's ignorance are special evidence models. A concept of independence is also introduced. Dempster-Shafer's combination rule becomes a formula to combine basic probabilities of independent models.


Basic Probability Combination Rule Belief Function Basic Probability Assignment Evidence Function 
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Copyright information

© Springer-Verlag Berlin Heidelberg 1991

Authors and Affiliations

  • Chun-Hung Tzeng
    • 1
  1. 1.Computer Science DepartmentBall State UniversityMuncie

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