Similarity Function-Assisted Dynamic Fuzzy Rule Interpolation: An Improved Approach

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddTrafodion Cynhadledd (Nid-Cyfnodolyn fathau)

Crynodeb

Fuzzy rule interpolation (FRI) enables fuzzy inference systems to derive consequences when the observations are not covered by a system's sparse rule base. However, in conventional FRI systems, interpolated fuzzy rules are discarded once outcomes are obtained, despite they may contain valuable information about the problem space. Recent work has revealed the potential to improve the knowledge scope covered by a sparse rule base by reusing the interpolated rules. Particularly, dynamic fuzzy interpolation based on rule assessment (RAD-FRI) can reinforce the sparse rule base by adding high-quality interpolated rules into the rule base. It works via exploiting the similarity between interpolated rules and those given in the spare rule base. This paper further develops such research by improving the similarity function employed within RAD-FRI, through considering the location of the rules in a sparse rule base while filtering the interpolated rules that are not used in the subsequent inference processes. Comparative experimental outcomes on benchmark datasets demonstrate that the performance of the resulting FRI systems can be dynamically strengthened, with improved inference accuracy over that attainable by the popular existing FRI systems.

Iaith wreiddiolSaesneg
Teitl2023 IEEE International Conference on Fuzzy Systems, FUZZ 2023
CyhoeddwrIEEE Press
ISBN (Electronig)9798350332285
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 2023
Digwyddiad2023 IEEE International Conference on Fuzzy Systems, FUZZ 2023 - Incheon, Korea (Gweriniaeth)
Hyd: 13 Awst 202317 Awst 2023

Cyfres gyhoeddiadau

EnwIEEE International Conference on Fuzzy Systems
ISSN (Argraffiad)1098-7584

Cynhadledd

Cynhadledd2023 IEEE International Conference on Fuzzy Systems, FUZZ 2023
Gwlad/TiriogaethKorea (Gweriniaeth)
DinasIncheon
Cyfnod13 Awst 202317 Awst 2023

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