Evaluation of agreement in a group of experts via distances between intuitionistic fuzzy preferences

@article{Szmidt2002EvaluationOA,
  title={Evaluation of agreement in a group of experts via distances between intuitionistic fuzzy preferences},
  author={Eulalia Szmidt and Janusz Kacprzyk},
  journal={Proceedings First International IEEE Symposium Intelligent Systems},
  year={2002},
  volume={1},
  pages={166-170 vol.1}
}
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We propose a method to evaluate a degree (extent) of agreement in a group of experts (individuals) when individual testimonies are intuitionistic fuzzy preference relations, as opposed to traditional fuzzy preference relations commonly employed. [...] Key Method Our solution is based on the calculation of distances between intuitionistic fuzzy preferences. A degree of group agreement is given as a number from [0, 1], where 0 means consensus (in a traditional sense), 1 means full disagreement (dissensus).Expand Abstract

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