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Measuring Uncertainty for Interval Belief Structures and its Application for Analyzing Weather Forecasts

  • Andrey G. BronevichEmail author
  • Natalia S. Spiridenkova
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 641)

Abstract

While analyzing statistical data we face with a problem of modeling uncertainty. One among well justified models is based on belief structures that allow us to describe imprecision and conflict in information. We use this model for analyzing contradiction in weather forecasts. For this aim we build several measures of contradiction based on the introduced imprecision index and the disjunctive aggregation rule for interval belief structures. We use these characteristics for analyzing weather forecasts.

Keywords

Interval belief structures Inclusion indices Wasserstein metric Measures of contradiction 

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Andrey G. Bronevich
    • 1
    Email author
  • Natalia S. Spiridenkova
    • 1
  1. 1.National Research University Higher School of EconomicsMoscowRussia

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