Sentence examples for fuzzy label from inspiring English sources

In this framework models take the form of mass relations on joint label set space and can be inferred from data or from fuzzy label expressions.

Mass relations define a probability distribution over the set of fuzzy label expressions but can also be mapped to distributions on the underlying parameter space.

Two labeling methods are introduced: hard and fuzzy labeling.

Only two fuzzy labels are adopted for each fuzzy variable.

We minimize the number of FLC rules and fuzzy labels.

A framework for reasoning and modelling using fuzzy labels is described together with a calculus based on voting model semantics.

Highly over-lapping fuzzy labels in the input output spaces are merged to reduce the computational complexity and improve the overall interpretability of the system.

Two new methods based on linguistic covering of the state space with fuzzy labels are introduced and used to generate an imprecise limit state function from very scarce experimental data.

The proposed TF features and fuzzy labeling classifier (NMF-adaptive SM and fuzzy labeling) were more accurate in detecting the TWA signal than classic LDA classifier.

Finally, The SOTM clustering and fuzzy labeling is employed to train and classify the signals.

We allow fuzzy labeling, namely each instance can be in more than one cluster.