A procedure for the generation of interval type-2 membership functions from data.

作者：Liao T W

来源：Applied Soft Computing, 2017, 52: 925-936.

DOI：10.1016/j.asoc.2016.09.034

• Interval type-2 fuzzy set
• Extended Pi interval type-2 membership
• function
• Extended Pi membership function
• Parametric optimization
• Metaheuristic
• Hybrid metaheuristic

This paper proposes a new interval type-2 fuzzy set taking extended pi interval type-2 membership IT2 MF) as its values, and presents a new procedure for generating a set of extended pi IT2 MFs from data for an interval type-2 linguistic variable. An extended pi IT2 MF is defined as the min and max of two extended pi (type-1 or ordinary) membership functions. The procedure has the following steps: (i) for each interval type-2 linguistic variable, specifying the number of membership functions to be generated, i.e. the granularity level, (ii) choosing two fuzzy exponents to be used, (iii) for each fuzzy exponent, applying the fuzzy c-means variant (FCMV) proposed by Liao et al. [1] to obtain the corresponding centers and membership values, and (iv) carrying out parametric optimization by applying a metaheuristic or a hybrid metaheuristic algorithm to determine the optimal parameters associated with the extended pi IT2 MFs so that the mean squared error (MSE) or sum of squared errors (SSE) between the membership values obtained by FCMV and those predicted by the extended pi IT2 MFs is minimized. The proposed procedure was illustrated with an example and further tested with iris data and weld data. The effects of using two different interval distance measures

• 出版日期2017-3