Liu, L. orcid.org/0000-0002-9236-3380 and Vuillemot, R. orcid.org/0000-0003-1447-6926 (2023) A Generic Interactive Membership Function for Categorization of Quantities. IEEE Computer Graphics and Applications, 43 (5). pp. 39-48. ISSN 0272-1716
Abstract
The membership function is to categorize quantities along with a confidence degree. This article investigates a generic user interaction based on this function for categorizing various types of quantities without modification, which empowers users to articulate uncertainty categorization and enhance their visual data analysis significantly. We present the technique design and an online prototype, supplementing with insights from three case studies that highlight the technique's efficacy among different types of quantities. Furthermore, we conduct a formal user study to scrutinize the process and reasoning users employ while utilizing our technique. The findings indicate that our technique can help users create customized categories. Both our code and the interactive prototype are made available as open-source resources, intended for application across varied domains as a generic tool.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Keywords: | Data visualization; Uncertainty; Prototypes; Fuzzy logic; Image color analysis; Fuzzy sets; Open source software |
Dates: |
|
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 15:35 |
Last Modified: | 04 Mar 2024 15:35 |
Published Version: | https://ieeexplore.ieee.org/document/10207831 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Identification Number: | 10.1109/mcg.2023.3301449 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:209830 |