Agent Based Multi-Objective Approach to Generating Interpretable Fuzzy Systems
Wang H, Kwong S, Jin Y, Tsang C-H (2006)
In: Multi-Objective Machine Learning. Jin Y (Ed); Studies in Computational Intelligence. Berlin/Heidelberg: Springer-Verlag: 339-364.
Sammelwerksbeitrag
| Veröffentlicht | Englisch
Download
Es wurden keine Dateien hochgeladen. Nur Publikationsnachweis!
Autor*in
Wang, Hanli;
Kwong, Sam;
Jin, YaochuUniBi 
;
Tsang, Chi-Ho
;
Tsang, Chi-HoHerausgeber*in
Jin, Yaochu
Abstract / Bemerkung
Interpretable fuzzy systems are very desirable for human users to study complex systems. To meet this end, an agent based multi-objective approach is proposed to generate interpretable fuzzy systems from experimental data. The proposed approach can not only generate interpretable fuzzy rule bases, but also optimize the number and distribution of fuzzy sets. The trade-off between accuracy and interpretability of fuzzy systems derived from our agent based approach is studied on some benchmark classification problems in the literature.
Erscheinungsjahr
2006
Buchtitel
Multi-Objective Machine Learning
Serientitel
Studies in Computational Intelligence
Seite(n)
339-364
ISBN
3-540-30676-5
Page URI
https://pub.uni-bielefeld.de/record/2978646
Zitieren
Wang H, Kwong S, Jin Y, Tsang C-H. Agent Based Multi-Objective Approach to Generating Interpretable Fuzzy Systems. In: Jin Y, ed. Multi-Objective Machine Learning. Studies in Computational Intelligence. Berlin/Heidelberg: Springer-Verlag; 2006: 339-364.
Wang, H., Kwong, S., Jin, Y., & Tsang , C. - H. (2006). Agent Based Multi-Objective Approach to Generating Interpretable Fuzzy Systems. In Y. Jin (Ed.), Studies in Computational Intelligence. Multi-Objective Machine Learning (pp. 339-364). Berlin/Heidelberg: Springer-Verlag. https://doi.org/10.1007/11399346_15
Wang, Hanli, Kwong, Sam, Jin, Yaochu, and Tsang , Chi-Ho. 2006. “Agent Based Multi-Objective Approach to Generating Interpretable Fuzzy Systems”. In Multi-Objective Machine Learning, ed. Yaochu Jin, 339-364. Studies in Computational Intelligence. Berlin/Heidelberg: Springer-Verlag.
Wang, H., Kwong, S., Jin, Y., and Tsang , C. - H. (2006). “Agent Based Multi-Objective Approach to Generating Interpretable Fuzzy Systems” in Multi-Objective Machine Learning, Jin, Y. ed. Studies in Computational Intelligence (Berlin/Heidelberg: Springer-Verlag), 339-364.
Wang, H., et al., 2006. Agent Based Multi-Objective Approach to Generating Interpretable Fuzzy Systems. In Y. Jin, ed. Multi-Objective Machine Learning. Studies in Computational Intelligence. Berlin/Heidelberg: Springer-Verlag, pp. 339-364.
H. Wang, et al., “Agent Based Multi-Objective Approach to Generating Interpretable Fuzzy Systems”, Multi-Objective Machine Learning, Y. Jin, ed., Studies in Computational Intelligence, Berlin/Heidelberg: Springer-Verlag, 2006, pp.339-364.
Wang, H., Kwong, S., Jin, Y., Tsang , C.-H.: Agent Based Multi-Objective Approach to Generating Interpretable Fuzzy Systems. In: Jin, Y. (ed.) Multi-Objective Machine Learning. Studies in Computational Intelligence. p. 339-364. Springer-Verlag, Berlin/Heidelberg (2006).
Wang, Hanli, Kwong, Sam, Jin, Yaochu, and Tsang , Chi-Ho. “Agent Based Multi-Objective Approach to Generating Interpretable Fuzzy Systems”. Multi-Objective Machine Learning. Ed. Yaochu Jin. Berlin/Heidelberg: Springer-Verlag, 2006. Studies in Computational Intelligence. 339-364.
Link(s) zu Volltext(en)
Access Level
Closed Access
Google Scholar
ISBN Suche