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Facial Similarity Analysis: A Three-Way Decision Perspective

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Uncertainty Management with Fuzzy and Rough Sets

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 377))

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Abstract

A fundamental task in the sorting of facial photographs is the modelling of pairwise facial similarity. A three-way analysis of facial similarity described in this work uses data obtained from card sorting of a set of facial photographs, done by a group of participants. Participants were asked to sort the photographs into an unrestricted number of piles, using their own judgements of similarity to place similar photos into the same pile. Photos placed into different piles are considered to be dissimilar.

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Acknowledgements

The authors thank the editors, Rafael Bello, Rafael Falcon, and José Luis Verdegay, for their encouragement and the anonymous reviewers for their constructive comments. This work has been supported, in part, by two NSERC Discovery Grants.

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Authors and Affiliations

  1. Department of Computer Science, University of Regina, Regina, SK, S4S 0A2, Canada

    Daryl H. Hepting, Hadeel Hatim Bin Amer & Yiyu Yao

Authors
  1. Daryl H. Hepting
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  2. Hadeel Hatim Bin Amer
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  3. Yiyu Yao
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Corresponding author

Correspondence to Daryl H. Hepting .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Universidad Central "Marta Abreu" de Las Villas, Santa Clara, Villa Clara, Cuba

    Rafael Bello

  2. School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada

    Rafael Falcon

  3. Department of Computer Science and Artificial Intelligence, Technical School of Informatics and Telecommunications Engineering, University of Granada, Granada, Spain

    José Luis Verdegay

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Hepting, D.H., Bin Amer, H.H., Yao, Y. (2019). Facial Similarity Analysis: A Three-Way Decision Perspective. In: Bello, R., Falcon, R., Verdegay, J. (eds) Uncertainty Management with Fuzzy and Rough Sets. Studies in Fuzziness and Soft Computing, vol 377. Springer, Cham. https://doi.org/10.1007/978-3-030-10463-4_15

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