An Interval-Valued Fuzzy Classifier Based on an Uncertainty-Aware Similarity Measure

  • Anna StachowiakEmail author
  • Patryk Żywica
  • Krzysztof Dyczkowski
  • Andrzej Wójtowicz
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 322)


In this paper we propose a new method for classifying uncertain data, modeled as interval-valued fuzzy sets. We develop the notion of an interval-valued prototype-based fuzzy classifier, with the idea of preserving full information including the uncertainty factor about data during the classification process. To this end, the classifier was based on the uncertainty-aware similarity measure, a new concept which we introduce and give an axiomatic definition for. Moreover, an algorithm for determining such a similarity value is proposed, and an application to supporting medical diagnosis is described.


Ovarian Tumor Membership Degree Class Prototype Relative Cardinality Malignant Adnexal Mass 
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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Anna Stachowiak
    • 1
    Email author
  • Patryk Żywica
    • 1
  • Krzysztof Dyczkowski
    • 1
  • Andrzej Wójtowicz
    • 1
  1. 1.Faculty of Mathematics and Computer ScienceAdam Mickiewicz UniversityPoznańPoland

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