Crynodeb
Adaptive fuzzy interpolation strengthens the potential
of fuzzy interpolative reasoning. It first identifies all possible
sets of faulty fuzzy reasoning components, termed the candidates,
each of which may have led to all the contradictory interpolations.
It then tries to modify one selected candidate in an effort
to remove all the contradictions and thus restore interpolative
consistency. This approach assumes that all the candidates are
equally likely to be the real culprit. However, this may not be the
case in real situations as certain identified reasoning components
may be more liable to resulting in inconsistencies than others.
This paper extends the adaptive approach by prioritizing all the
generated candidates. This is achieved by exploiting the certainty
degrees of fuzzy reasoning components and hence of derived
propositions. From this, the candidate with the highest priority
is modified first. This extension helps to quickly spot the real
culprit and thus considerably improves the approach in terms of
efficiency.
Iaith wreiddiol | Saesneg |
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Teitl | 2011 IEEE International Conference on Fuzzy Systems (FUZZ) |
Cyhoeddwr | IEEE Press |
Tudalennau | 428-435 |
Nifer y tudalennau | 8 |
ISBN (Electronig) | 978-1-4244-7316-8 |
ISBN (Argraffiad) | 978-1-4244-7315-1 |
Dynodwyr Gwrthrych Digidol (DOIs) | |
Statws | Cyhoeddwyd - 26 Medi 2011 |
Digwyddiad | Fuzzy Systems - Taipei, Taiwan Hyd: 27 Meh 2011 → 30 Meh 2011 Rhif y gynhadledd: 20 |
Cynhadledd
Cynhadledd | Fuzzy Systems |
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Teitl cryno | FUZZ-IEEE-2011 |
Gwlad/Tiriogaeth | Taiwan |
Dinas | Taipei |
Cyfnod | 27 Meh 2011 → 30 Meh 2011 |