Adaptive Fuzzy Interpolation with Prioritized Component Candidates

Qiang Shen, Longzhi Yang

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

135 Wedi eu Llwytho i Lawr (Pure)


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 wreiddiolSaesneg
Teitl2011 IEEE International Conference on Fuzzy Systems (FUZZ)
CyhoeddwrIEEE Press
Nifer y tudalennau8
ISBN (Electronig)978-1-4244-7316-8
ISBN (Argraffiad)978-1-4244-7315-1
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 26 Medi 2011
DigwyddiadFuzzy Systems - Taipei, Taiwan
Hyd: 27 Meh 201130 Meh 2011
Rhif y gynhadledd: 20


CynhadleddFuzzy Systems
Teitl crynoFUZZ-IEEE-2011
Cyfnod27 Meh 201130 Meh 2011

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