Zobrazeno 1 - 10
of 39
pro vyhledávání: '"interpretability–accuracy trade-off"'
Publikováno v:
Information, Vol 3, Iss 3, Pp 256-277 (2012)
Interpretability and accuracy are two important features of fuzzy systems which are conflicting in their nature. One can be improved at the cost of the other and this situation is identified as “Interpretability-Accuracy Trade-Off”. To deal with
Externí odkaz:
https://doaj.org/article/557048863ade4c7b83046c3ef29f8b19
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 5, Iss 2 (2012)
This paper proposes a mechanism that helps improve the interpretability of linguistic fuzzy ruled based systems with common adaptive defuzzification methods. Adaptive defuzzification significantly improves the system accuracy, but introduces weights
Externí odkaz:
https://doaj.org/article/535a58cf771c424aa1403712f2b4093b
Akademický článek
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Publikováno v:
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems, Institute of Electrical and Electronics Engineers, 2018, pp.715-733. ⟨10.1109/TFUZZ.2017.2688349⟩
IEEE Transactions on Fuzzy Systems, Institute of Electrical and Electronics Engineers, 2018, pp.715-733. ⟨10.1109/TFUZZ.2017.2688349⟩
International audience; The problem of learning fuzzy rule-bases is analyzed from the perspective of finding a favorable balance between the accuracy of the system, the speed required to learn the rules, and finally, the interpretability of the rule-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe71318dd496a81793aa5018be5c96d4
https://hal.archives-ouvertes.fr/hal-01756513/document
https://hal.archives-ouvertes.fr/hal-01756513/document
Publikováno v:
IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA 2017)
Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), 2017 IEEE International Conference on
Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), 2017 IEEE International Conference on, Jun 2017, Annecy, France. pp. 147-152, ⟨10.1109/CIVEMSA.2017.7995317⟩
Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), 2017 IEEE International Conference on
Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), 2017 IEEE International Conference on, Jun 2017, Annecy, France. pp. 147-152, ⟨10.1109/CIVEMSA.2017.7995317⟩
International audience; Driven by the growing complexity of real-world systems, current trends in fuzzy system modeling employ ways to automatically learn the system rule-base from numerical data. While these approaches greatly improve model accuracy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df9a506d55f4082a91c77ad01d423583
http://hal.univ-smb.fr/hal-01673104
http://hal.univ-smb.fr/hal-01673104
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 6, Iss 100 (2017)
International Journal of Computational Intelligence Systems, Vol 6, Iss 100 (null)
International Journal of Computational Intelligence Systems, Vol 6, Iss 100 (null)
Understand the behavior of Fuzzy Rule-based Systems (FRBSs) at inference level is a complex task that allows the designer to produce simpler and powerful systems. The fuzzy inference-grams –known as fingrams– establish a novel and mighty tool for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e75b20ab3582f75585cbc3d36b07dcef
https://www.atlantis-press.com/article/25868455.pdf
https://www.atlantis-press.com/article/25868455.pdf
Conference
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Publikováno v:
Mathware & soft computing; 2006: Vol.: 13 Núm.: 3
Mathware & soft computing
Mathware & soft computing, RACO, 2006, 13 (3), pp.203-216
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Mathware & soft computing
Mathware & soft computing, RACO, 2006, 13 (3), pp.203-216
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
This work proposes a new method in order to simplify linguistic knowledge bases. The main goal consists of improving simultaneously accuracy and interpretability when it is possible, or at least ensuring a good trade-off between them, as well as cons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::db699308672147fd0cdc23ae7930189e
http://www.raco.cat/index.php/Mathware/article/view/84945
http://www.raco.cat/index.php/Mathware/article/view/84945
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 5, Iss 2 (2012)
International Journal of Computational Intelligence Systems, Vol 5, Iss 2, Pp 297-321 (2012)
International Journal of Computational Intelligence Systems, Vol 5, Iss 2, Pp 297-321 (2012)
This paper proposes a mechanism that helps improve the interpretability of linguistic fuzzy ruled based systems with common adaptive defuzzification methods. Adaptive defuzzification significantly improves the system accuracy, but introduces weights
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd3d18e3a393820aa8f4eafdff0c20f4
https://www.atlantis-press.com/article/25867973.pdf
https://www.atlantis-press.com/article/25867973.pdf
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 6, Iss 100 (null)
Understand the behavior of Fuzzy Rule-based Systems (FRBSs) at inference level is a complex task that allows the designer to produce simpler and powerful systems. The fuzzy inference-grams –known as fingrams– establish a novel and mighty tool for
Externí odkaz:
https://doaj.org/article/9d558cf55251427fbeb2943452cfb7fe