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Learning of interval and general type 2 fuzzy logic systems using simulated annealing: theory and practice

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Figure

Figure 1: General type-2 fuzzy set defined by its FOU and SMF. The FOU is defined by two Gaussian func-tions while the SMF is a triangular shaped defined by linear interpolation of two piecewise linear functions.The green dotted line is the apex factor which has different values between 0 and 1.
Figure 2: An example of learning a triangular SMF by adapting the apex location.
Table 1: The number of centroid operations needed to type-reduce general type-2 fuzzy sets optimized bysimulated annealing (SA).
Figure 3: A flowchart of the method of using simulated annealing to optimize IT2FLS or GT2FLS.
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