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Multilevel Aggregation of Arguments in a Model Driven Approach to Assess an Argumentation Relevance

  • Olivier Poitou
  • Claire Saurel
Part of the Communications in Computer and Information Science book series (CCIS, volume 443)

Abstract

Figuring out which hypothesis best explain an observed ongoing situation can be a critical issue. This paper introduces a generic model based approach to support users during this task. It then focuses on an hypothesis relevance scoring function that helps users to efficently build a convincing argumentation towards hypothesis. This function uses a multi-level extension of Yager’s aggregation algorithm, exploiting both the strength of the components of an argumentation, and the confidence the user puts in them. The presented work was illustrated on a maritime surveillance application.

Keywords

decision support argumentation model-based approach multilevel multicriteria aggregation 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Olivier Poitou
    • 1
  • Claire Saurel
    • 1
  1. 1.ONERAToulouseFrance

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