The Solution to the Problem of Curse of Dimensionality in Fuzzy Modelling

Abstract

As for the solid fuzzy modeling, well-understanding
interpretability, highly accuracy of the approximation,
less effort, and resources saving are extremely
significant features to design a high-performance fuzzy
inference model in the coming future. Though the
current novel learning algorithms can effectively
optimize the system performance, it still can’t entirely
break the problem of curse of dimensionality (COD).
Basically, it is easy to cause the problem of curse of
dimensionality as processing high-dimensional data by
sophisticated fuzzy learning algorithms, so it is
necessary to consider the problem of curse of
dimensionality as designing solid fuzzy learning
algorithms