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Figure 6: (a–d) show a 2D, 3D surfaces control view outputs for the IT2 TSK fuzzy model with continuous discrete color pattern separations using <t>MATLAB</t> 2018a
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Figure 6: (a–d) show a 2D, 3D surfaces control view outputs for the IT2 TSK fuzzy model with continuous discrete color pattern separations using <t>MATLAB</t> 2018a
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Figure 6: (a–d) show a 2D, 3D surfaces control view outputs for the IT2 TSK fuzzy model with continuous discrete color pattern separations using <t>MATLAB</t> 2018a
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Figure 6: (a–d) show a 2D, 3D surfaces control view outputs for the IT2 TSK fuzzy model with continuous discrete color pattern separations using <t>MATLAB</t> 2018a
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Image Search Results


Figure 6: (a–d) show a 2D, 3D surfaces control view outputs for the IT2 TSK fuzzy model with continuous discrete color pattern separations using MATLAB 2018a

Journal: Intelligent Automation & Soft Computing

Article Title: Interval Type-2 Fuzzy Model for Intelligent Fire Intensity Detection Algorithm with Decision Making in Low-Power Devices

doi: 10.32604/iasc.2023.037988

Figure Lengend Snippet: Figure 6: (a–d) show a 2D, 3D surfaces control view outputs for the IT2 TSK fuzzy model with continuous discrete color pattern separations using MATLAB 2018a

Article Snippet: A free open–source MATLAB fuzzy logic toolbox is carefully configured with varying parameter settings as defined in Table 5 and successfully integrated into the MATLAB2018a environment for proper functioning.

Techniques: Control