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A T S modeling method using fuzzy satisfactory clustering (FSC) algorithm is introduced at first.
To achieve this goal, we propose a new constrained Takagi Sugeno fuzzy model-based control method using fuzzy Lyapunov control framework.
The objective of this paper is to develop a more accurate and reliable alternative method using fuzzy inference system (FIS) to predict the shear strength of FRP-reinforced concrete beams.
This method first establishes a scientific and proper fuzzy evaluation method using fuzzy mathematics to define ERT index satisfaction (ERTIS) and overall ERT index satisfaction (OERTIS) and to construct their satisfaction functions.
Ren et al.[2] proposed a recognition method using fuzzy C-means clustering SVM.
A hierarchical process-based method using fuzzy analysis is proposed to assess black-start schemes [24].
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Furthermore, the method uses fuzzy logic to convert the qualitative attributes into the quantitative attributes.
In addition, this method uses fuzzy mathematics instead of crisp numbers to capture the true customer requirements.
The proposed method uses fuzzy weighted sliding window background signal calculation, background removal, and calculation of target energy functions.
This novel method uses fuzzy-logic to link records without the researcher knowing the identity of the linked cases.
Both clustering methods used fuzzy c-means clustering [ 20].
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