Liu, L. orcid.org/0000-0002-9236-3380 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. 12th International Conference on Information Visualization Theory and Applications ((part of VISIGRAPP 2021), 08-10 Feb 2021, Online Streaming. SCITEPRESS - Science and Technology Publications , pp. 195-202. ISBN 978-989-758-488-6
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.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 04 Mar 2024 15:46 |
Last Modified: | 04 Mar 2024 15:46 |
Published Version: | http://dx.doi.org/10.5220/0010270801950202 |
Status: | Published |
Publisher: | SCITEPRESS - Science and Technology Publications |
Identification Number: | 10.5220/0010270801950202 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:209829 |