In order to avoid the combinatorial explosion of fuzzy rules due to multivariable inputs, a state variable synthesis scheme is employed to reduce the number of fuzzy rules greatly.
Furthermore, IMFE that is designed to avoid the inaccurate estimation of fuzzy entropy can be utilized to quantify the complexity and self-similarity of time series for a range of scales based on fuzzy entropy.
The main contribution of this work is the derivation of the hierarchical adaptive fuzzy algorithm to avoid the rule explosion phenomenon that characterizes traditional fuzzy systems.
In this paper, we propose an information push-delivery system, which applies fuzzy information retrieval and fuzzy similarity measurement to avoid the information overload problem.
To avoid the drawback of the (fixed) space-partitioned fuzzy controllers, a flexible spacial model design with fuzzy adaptive approach is introduced.
To avoid the downside of such distinct classification, a fuzzy logic approach is suggested.
This filter considerably improves the results obtained by the so-called fuzzy mathematical morphology open-close filter, through the use of some fuzzy mathematical operators, especially designed to avoid the use of the noisy pixels into the computations.
Li et al. (2014b) have presented a fuzzy logic based control strategy to avoid the rear end crashes.
The fuzzy prediction method has been proposed by [13] to avoid the shortage of the resources in the route selection process.
There are a lot of ways to avoid the moiré pattern, but they degrade picture quality, often by making it a little fuzzy.
To avoid the lag of intentional movement and to smooth the unwanted camera motion efficiently the following fuzzy adaptation mechanism of α is proposed.
