Record link: 
http://hdl.handle.net/20.500.12708/220166
-
Title: 
Interpreting and Unifying Anomaly Scores with Antagonistic Fuzzy Sets
en
Citation: 
Iglesias Vazquez, F., Zseby, T., & Zimek, A. (2025). Interpreting and Unifying Anomaly Scores with Antagonistic Fuzzy Sets. In 2025 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Reims, France. IEEE. https://doi.org/10.1109/FUZZ62266.2025.11197685
-
Publisher DOI: 
10.1109/FUZZ62266.2025.11197685
-
Publication Type: 
Inproceedings - Full-Paper Contribution
en
Language: 
English
-
Authors: 
Iglesias Vazquez, Félix 
Zseby, Tanja 
Zimek, Arthur 
-
Organisational Unit: 
E389-01 - Forschungsbereich Networks 
E056-10 - Fachbereich SecInt-Secure and Intelligent Human-Centric Digital Technologies 
E056-16 - Fachbereich SafeSeclab 
-
Published in: 
2025 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) 
-
ISBN: 
979-8-3315-4319-8
-
DOI of the book: 
10.1109/FUZZ62266.2025
-
Date (published): 
Oct-2025
-
Event name: 
IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) 
en
Event date: 
6-Jul-2025 - 10-Jul-2025
-
Event place: 
Reims, France
-
Number of Pages: 
8
-
Publisher: 
IEEE
-
Keywords: 
anomaly detection; outlier scores; probabilistic normalization; fuzzy sets
en
Link (external): 
https://doi.org/10.48436/043x1-fws73
-
Research Areas: 
Mathematical and Algorithmic Foundations: 60%
Information Systems Engineering: 15%
Computer Science Foundations: 25%
-
Science Branch: 
1020 - Informatik: 30%
2020 - Elektrotechnik, Elektronik, Informationstechnik: 20%
1010 - Mathematik: 50%
-
Appears in Collections:
Conference Paper

Show full item record

Page view(s)

7
checked on Oct 20, 2025

Download(s)

6
checked on Oct 20, 2025

Google ScholarTM

Check