In detail, it models the input information's vagueness through fuzzy sets, and then applies a genetic fuzzy system on the acquired fuzzy sets to extract the fuzzy rule set for the problem of UA risk assessment.
In a neuro-fuzzy system, NNs automatically extract fuzzy rules from the numerical data and, through the training process, the parameters of the membership functions are adaptively attuned.
The fitting alteration or the fine-tuning of the flat pattern is based on the fuzzy logic implementation to extract the fuzzy production rules according to the responses of the wearers.
An enhanced fuzzy c-means clustering algorithm was applied to create and extract fuzzy rules.
An enhanced fuzzy c-means clustering algorithm has been applied to create and extract fuzzy rules.
Hence in recent years, it is based on evolutionary algorithms to automatically extract fuzzy expert system by identifying and estimating the fuzzy rule base while keeping a generic structure.
We used HOQ with triangular fuzzy numbers to extract mathematical model to deal with the fuzziness of the problem to achieve the optimal values of the ECs under different degrees of uncertainty.
Now we have to make sense of all those fuzzy images and extract from them the one-in-a-million shadow of terrorism.
Major advances are inclusions of methods of expert knowledge (fuzzy models) and extract models from examples (such as neural networks).
In this paper, a novel approach to extract fuzzy control rules from perception-based information using computing with words (CW) is firstly presented.
