Towards More Human Consistent Reasoning via Intuitionistic Fuzzy Sets

  • Eulalia Szmidt
  • Janusz Kacprzyk
Conference paper
Part of the Advances in Soft Computing book series (AINSC, volume 19)


Intuitionistic fuzzy sets (Atanassov [1], [2]), due to of an additional degree of freedom, can be viewed as a generalization of fuzzy sets. The additional degree of freedom makes a better modelling of imperfect information possible. We propose the me of intuitionistic fuzzy sets for a more human consistent reasoning under imprecise knowledge. An example of a medical database is considered. Employing intuitionistic fuzzy sets, we can express a hesitation concerning both the patients and illnesses. An illness for each patient is found by looking for the smallest distance [cf. Szmidt and Kacprzyk [5], [8]] between symptoms that are characteristic for a patient, and symptoms describing illnesses. Our new approach can help avoid drawbacks of the max-min-max rule that is usually employed [cf. De, Biswas and Roy [3]].


Imperfect Information Fuzzy Relation Fuzzy Preference Relation Fuzzy Relation Equation Stomach Problem 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Eulalia Szmidt
    • 1
  • Janusz Kacprzyk
    • 1
  1. 1.Systems Research InstitutePolish Academy of SciencesWarsawPoland

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