This paper is concerned with a method for designing improved Linguistic Model (LM) using Conditional Fuzzy Clustering (CFC) with two different Interval ...
Abstract: This paper is concerned with a method for designing improved Linguistic Model (LM) using Conditional. Fuzzy Clustering (CFC) with two different ...
Knowledge Discovery and Modeling based on Conditional Fuzzy. Clustering with Interval Type-2 Fuzzy. Yeong-Hyeon Byeon and Keun-Chang Kwak. Department of ...
This paper is concerned with a method for designing improved Linguistic Model (LM) using Conditional Fuzzy Clustering (CFC) with two different Interval ...
This proposed clustering technique has characteristics that estimate the prototypes by preserving the homogeneity between the clustered patterns from the ...
In recent years research has also been performed in the extension of other clustering algorithms using Type-2 Fuzzy Logic Techniques, such as the ones proposed ...
Interval type-2 fuzzy neural networks (IT2FNNs) have gained sustainable attention and wide applications because of their power of adaptive fuzzy modeling.
Mar 12, 2024 · An approach for generating an optimal rule base of a fuzzy system is proposed, that relies on ellipsoidal clustering of observable data.
The enhanced IT2FKM algorithm has an average classification accuracy of 97.5% when faced with four datasets with different degrees imbalance.
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What type of clustering is the fuzzy clustering method?
Oct 22, 2024 · Here we use the cluster estimation method as the basis of a fast and robust algorithm for identifying fuzzy models. A benchmark problem ...