Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/72825
Title: On the learning of min-max fuzzy systems
Authors: Tan, Shaohua 
Zhang, Li
Vandewalle, Joos
Issue Date: 1997
Source: Tan, Shaohua,Zhang, Li,Vandewalle, Joos (1997). On the learning of min-max fuzzy systems. IEEE International Conference on Fuzzy Systems 3 : 1581-1584. ScholarBank@NUS Repository.
Abstract: This paper develops a methodology for learning fuzzy systems that contain min-max operations. It is shown that with the defuzzification properly defined, a min-max fuzzy system can have a transparent structure that is both universally approximating and easy for a learning scheme to be developed. A specific learning scheme based on multi-scale residue extraction is then presented.
Source Title: IEEE International Conference on Fuzzy Systems
URI: http://scholarbank.nus.edu.sg/handle/10635/72825
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