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But what appeared to be a fuzzy cluster in the sky became clear with binoculars: they were the seven stars in the Pleiades Group.
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Assume that the set of X is classified to many classes by membership function; each class is thought as a fuzzy subset of X; the classification matrix corresponding to each classification is a fuzzy matrix R. Cluster analysis is to use the similarity scale to measure the closeness degree between things and to realize classification.
The eco-modular drivers are obtained from the extended-QFD analysis and life cycle modules for eco-product family are identified with a fuzzy clustering method and eco-product family are established with DV (degree of variety) which is calculated by the QFD method.
In this technique, the mixture components are classified with a fuzzy clustering algorithm.
The rule base for the system is trained using a fuzzy clustering algorithm and applied to the experimental data gathered during traditional therapy sessions.
This is based on a fuzzy clustering algorithm to determine the number of fuzzy rules and the values of the premise parameters, and steepestdescent algorithms to basically determine the consequent parameters.
LAMDA is a fuzzy methodology of conceptual clustering and classification which is based on finding the global membership degree of a sample to an existing class, considering all the contributions of each feature.
The analysis is based on the fuzzy c-means (FCM) clustering method and a fuzzy cluster validity index (PBMF).
The output of the FCM clustering is a fuzzy membership partition matrix [21, 33].
Generalized fuzzy c-means clustering algorithm with improved fuzzy partitions (GIFP_FCM) is a novel fuzzy clustering algorithm.
A fuzzy clustering algorithm was used for the classifier design.
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