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Stage 2: Fuzzy classification of grey model errors.
This paper proposes a novel two-stage fuzzy classification model established by the fuzzy feature extraction agent (FFEA) and the fuzzy classification unit (FCU).
Research shows that fuzzy classification methods are good choice to cope with the above-mentioned issues.
Selected indices conformed to regression results (see "Spectral Indices used for fuzzy classification" section).
Finally, a fuzzy classification scheme identifies each mark as a character or a non-character.
A fuzzy classification scheme coupled to Kohonen's self-organizing map and fuzzy ART network determines this classification.
We conclude that at the working scale, the crisp classification is superior to the fuzzy classification.
Fuzzy classification is applied to delineate vegetation patterns from remote sensing data.
Genetic Fuzzy Systems are used to learn or tune in fuzzy classification systems.
Specific fuzzy classification options were used to obtain an assessment of output accuracy.
The classification accuracy and interpretability of generated rules are of major importance in fuzzy classification systems.
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