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One of the methods is based on mixed model ANOVA of individual differences, the other approach is based on fuzzy clustering related to regression residuals.
Second, a similarity matrix is introduced to identify the relationships between the interfaces, and steps of interface reengineering are advanced based on fuzzy clustering.
Recently, adaptive neuro-fuzzy inference systems have been proposed as a new intelligence framework for both prediction and classification based on fuzzy clustering optimization criterion and ranking.
An approach based on fuzzy clustering and aggregation operators is proposed to design cell formation involving multiple criteria or multiple attributes.
While clusters of functional requirements are identified based on fuzzy clustering analysis, the mapping mechanism between the customer and functional domains is incarnated in association rules.
This paper proposes a novel training algorithm for radial basis function neural networks based on fuzzy clustering and particle swarm optimization.
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The optimal number of regions is based on fuzzy cluster validation measures.
Additional file 4: Kaplan-Meier curves for event-free survival analysis based on fuzzy-clustering partition.
In this paper, a novel particle filter (PF) which we refer to as the quadrature particle filter (QPF) based on fuzzy c-means clustering is proposed.
In this paper, we propose a new method based on Fuzzy K-Means clustering for reducing the size of the concept lattices.
The proposed method can be used to generate the network model based on fuzzy c-means clustering (FCM) and binary integer programming (BIP) methods, which can automatically allocate wind turbines to their nearest substations and obtain the topology structure of cables which are utilized to connect turbines or turbine and substation.
More suggestions(16)
based on fuzzy pattern
based on fuzzy approach
based on fuzzy logic
based on fuzzy modeling
based on fuzzy entropy
based on hierarchical clustering
based on fuzzy simulation
based on statistical clustering
based on natural clustering
based on fuzzy matter-element
based on spectral clustering
based on unsupervised clustering
based on fuzzy membership
based on fuzzy inference
based on fuzzy similarity
based on fuzzy decomposition
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