Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/72555
Title: Defuzzification, structure transparency, and fuzzy system learning
Authors: Tan, Shaohua 
Vandewalle, Joos
Issue Date: 1996
Source: Tan, Shaohua,Vandewalle, Joos (1996). Defuzzification, structure transparency, and fuzzy system learning. IEEE International Conference on Fuzzy Systems 1 : 470-478. ScholarBank@NUS Repository.
Abstract: The issue of defuzzification is explored in the context of fuzzy system structure and learning for non-linear system modeling. It is revealed that the best-known defuzzification methods may not necessarily result in transparent fuzzy system structures that are universally approximating and yet suitable for developing effective learning algorithms for modeling. This paper then presents a simple defuzzification method that leads to transparent fuzzy system structures based on the min-max operations.
Source Title: IEEE International Conference on Fuzzy Systems
URI: http://scholarbank.nus.edu.sg/handle/10635/72555
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