Adaptive Fuzzy Interpolation and Extrapolation with Multiple-antecedent Rules

Qiang Shen, Longzhi Yang

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

146 Wedi eu Llwytho i Lawr (Pure)


Adaptive fuzzy interpolation strengthens the potential of fuzzy interpolative reasoning owning to its efficient identification and correction of defective interpolated rules during the interpolation process [11]. This approach assumes that: i) two closest adjacent rules which flank the observation or a previously inferred result are always available; ii) only single-antecedent rules are involved. In practice, however, variable values of these rules may lie just on one side of the observation or inferred result. Also, there may be certain rules with multiple antecedents in the rule base. This paper extends the adaptive approach, in order to cover fuzzy extrapolation and to support rule base with multiple-antecedent rules. Adaptive fuzzy interpolation and extrapolation complement each other, which jointly improve the applicability of fuzzy interpolative reasoning, as it significantly reduces the restriction over the given rule base.
Iaith wreiddiolSaesneg
TeitlProceedings of the 19th International Conference on Fuzzy Systems (FUZZ-IEEE'10)
Nifer y tudalennau8
StatwsCyhoeddwyd - Gorff 2010
DigwyddiadFuzzy Systems - Barcelona, Sbaen
Hyd: 18 Gorff 201023 Gorff 2010
Rhif y gynhadledd: 19


CynhadleddFuzzy Systems
Teitl crynoFUZZ-IEEE-2010
Cyfnod18 Gorff 201023 Gorff 2010

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