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In a Quest for Suitable Similarity Measures to Compare Experience-Based Evaluations

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Computational Intelligence (IJCCI 2015)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 669))

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Abstract

After representing experience-based evaluations as intuitionistic fuzzy sets (IFSs), one might expect that all of the existing similarity measures for IFSs could be used to compare them. However, only some of those measures seem to be suitable to do so according to a psychological perspective which indicates that similarity measures assuming symmetry and transitivity could not reflect properly the perceived similarity. Consequently, to determine empirically their suitability for such comparisons, several similarity measures for IFSs were tested on simulated experience-based evaluations. This paper presents our findings about how each of them reflected the perceived similarity among the simulated experience-based evaluation sets.

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Author information

Authors and Affiliations

  1. Department of Telecommunications and Information Processing, Ghent University, Sint-Pietersnieuwstraat 41, 9000, Ghent, Belgium

    Marcelo Loor & Guy De Tré

  2. Department of Electrical and Computer Engineering, ESPOL University, Campus Gustavo Galindo V., Km. 30.5 Via Perimetral, Guayaquil, Ecuador

    Marcelo Loor

Authors
  1. Marcelo Loor
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  2. Guy De Tré
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Corresponding author

Correspondence to Marcelo Loor .

Editor information

Editors and Affiliations

  1. Computer Architecture and Computer Technology, Universidad de Granada, Granada, Spain

    Juan Julián Merelo

  2. aSEEB-ISR-IST, Technical University of Lisbon (IST), Lisbon, Portugal

    Agostinho Rosa

  3. Facultad de Informática, University of Murcia, Murcia, Spain

    José M. Cadenas

  4. Departamento de Engenharia Informatica, University of Coimbra, Coimbra, Portugal

    António Dourado Correia

  5. Images, Signals and Intelligence Systems Laboratory, University PARIS-EST Creteil (UPEC), Créteil, France

    Kurosh Madani

  6. Campus de Gambelas, Universidade do Algarve, Faro, Portugal

    António Ruano

  7. Escola Superior de Tecnologia de Setúbal, Polytechnic Institute of Setúbal/INSTICC, Setúbal, Portugal

    Joaquim Filipe

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Loor, M., De Tré, G. (2017). In a Quest for Suitable Similarity Measures to Compare Experience-Based Evaluations. In: Merelo, J.J., et al. Computational Intelligence. IJCCI 2015. Studies in Computational Intelligence, vol 669. Springer, Cham. https://doi.org/10.1007/978-3-319-48506-5_15

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  • DOI: https://doi.org/10.1007/978-3-319-48506-5_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48504-1

  • Online ISBN: 978-3-319-48506-5

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