Automatic design of interpretable membership functions
نویسندگان
چکیده
Most approaches for the data-based design of fuzzy rule-based classi ers (e. g. [1{4]) require a manual de nition of membership functions (MBFs). In large applications, this task is very diÆcult and time-consuming for human experts. As a practical application, a possible scenario for a manual design of membership functions in a medical expert system to support gait analysis is demonstrated (Section 2).
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