Title :
The fuzzy crystallization algorithm: a new approach to complex systems modeling
Author :
Cheng, Chi-Cheng ; Hsieh, Wen-Hsiung
Author_Institution :
Dept. of Mech. & Electro-Mechanical Eng., Nat. Sun Yat-Sen Univ., Kaohsiung, Taiwan
fDate :
12/1/2001 12:00:00 AM
Abstract :
A new identification method for fuzzy modeling is introduced. Since the method has some analogy with the process of material crystallization in nature, the name of fuzzy crystallization algorithm (FCA) is given to this novel approach. This method accomplishes structure identification and parameter identification at the same time, and possesses the properties of simplicity, flexibility, and high calculation speed. Compared with other modeling strategies, it is easier to construct a model with a specific accuracy. Numerical examples are provided to demonstrate the performance of this approach
Keywords :
fuzzy logic; fuzzy systems; identification; modelling; parameter estimation; fuzzy crystallization algorithm; fuzzy modeling; identification; knowledge acquisition; parameter estimation; parameter identification; structure identification; Crystalline materials; Crystallization; Data mining; Fuzzy logic; Fuzzy systems; Knowledge acquisition; Mathematical model; Modeling; Parameter estimation; Uncertain systems;
Journal_Title :
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
DOI :
10.1109/3477.969493
