Backward fuzzy rule interpolation with multiple missing values

Shangzhu Jin, Ren Diao, Chai Quek, Qiang Shen

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

12 Dyfyniadau (Scopus)


Fuzzy rule interpolation offers a useful means for reducing the complexity of fuzzy models, more importantly, it makes inference possible in sparse rule-based systems. Backward fuzzy rule interpolation is a recently proposed technique which extends the potential existing methods, allowing interpolation to be carried out when a certain antecedent of observation is absent. However, only one missing antecedent may be inferred or interpolated using the other given antecedents and the consequent. In this paper, two approaches are proposed in an attempt to perform backward interpolation with multiple missing antecedent values. Both approaches assume a restricted model with multiple inputs and a single output, where every rule has the same number of antecedents. Experimental comparative studies are carried out to demonstrate the efficacy of the proposed work.
Iaith wreiddiolSaesneg
TeitlProceedings of the 22nd International Conference on Fuzzy Systems
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 2013
DigwyddiadFuzzy Systems - Hyderabad, Hyderabad, India
Hyd: 07 Gorff 201310 Gorff 2013
Rhif y gynhadledd: 22


CynhadleddFuzzy Systems
Teitl crynoFUZZ-IEEE-2013
Cyfnod07 Gorff 201310 Gorff 2013

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