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Authors: Liqun Liu and Romain Vuillemot

Affiliation: École Centrale de Lyon, Univ. Lyon, LIRIS CNRS, France

Keyword(s): Membership Function, Fuzzy Logic, Categorization.

Abstract: In this paper, we investigate how an interactive version of the membership function from the Fuzzy Logic Theory can be used to categorize quantitative data. This function is simple and similar to a line chart, and provides an explicit mapping of the categorization process. We first review the requirements for such quantitative values partitioning process and provide the Fuzzy Logic mathematical foundations related to the membership function. We then report on the implementation of the interactive function for several quantitative datasets case studies (e. g., age, temperature, speed). We expect this interactive function to provide more control over the categorization process, as well as way to make the categorization more explicit.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Liu, L. and Vuillemot, R. (2021). Categorizing Quantities using an Interactive Fuzzy Membership Function. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - IVAPP; ISBN 978-989-758-488-6; ISSN 2184-4321, SciTePress, pages 195-202. DOI: 10.5220/0010270801950202

@conference{ivapp21,
author={Liqun Liu. and Romain Vuillemot.},
title={Categorizing Quantities using an Interactive Fuzzy Membership Function},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - IVAPP},
year={2021},
pages={195-202},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010270801950202},
isbn={978-989-758-488-6},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - IVAPP
TI - Categorizing Quantities using an Interactive Fuzzy Membership Function
SN - 978-989-758-488-6
IS - 2184-4321
AU - Liu, L.
AU - Vuillemot, R.
PY - 2021
SP - 195
EP - 202
DO - 10.5220/0010270801950202
PB - SciTePress

- Science and Technology Publications, Lda.
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