Sentence examples for classification of fuzzy from inspiring English sources

As a result, we obtain a near-universal classification of fuzzy DLs according to the decidability of their consistency problem.

Its principal objective is to improve classification accuracy of fuzzy models.

The classification property of fuzzy logic techniques makes them a natural candidate for the rejection of errors induced by the backlash.

The classification property of fuzzy logic systems makes them a natural candidate for the rejection of errors induced by the backlash, which has regions in which it behaves differently.

a Significantly different from distinct classification (P < 0.05) The magnitude of the advantage of fuzzy classification is specific for this simulation design and will vary from case to case, whether it concerns other simulation designs or practical applications.

A generalized radial basis function (GRBF) neural network architecture that generates a set of fuzzy classification rules was developed for protein sequences classification by Wang et al. [ 11].

This paper presents a novel boosting algorithm for genetic learning of fuzzy classification rules.

We propose a weighting function for compatibility grade of patterns that improves the performance of fuzzy classification system without degrading the interpretability of fuzzy rules.

In this paper, we investigate the induction of fuzzy classification rules for data mining purposes, and propose a hybrid genetic algorithm for learning approximate fuzzy rules.

Simulation results indicate that the proposed system can provide a significant higher classification rate than that of fuzzy ARTMAP alone during incremental learning.

The resulting classification map shows levels of fuzzy membership ranging from highly urban to least urban or rural in the Boston study region.