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|Title:||Defuzzification, structure transparency, and fuzzy system learning||Authors:||Tan, Shaohua
|Issue Date:||1996||Citation:||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|
|Appears in Collections:||Staff Publications|
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