Optimization of Gaussian Fuzzy Membership Functions and Evaluation of the Monotonicity Property of Fuzzy Inference Systems

Optimization of Gaussian Fuzzy Membership Functions and Evaluation of the Monotonicity Property of Fuzzy Inference Systems

In this paper, two issues relating to modeling of a monotonicity-preserving Fuzzy Inference System (FIS) are examined. The first is on designing or tuning of Gaussian Membership Functions (MFs) for a monotonic FIS. Designing Gaussian MFs for an FIS is difficult because of its spreading and curvature...

Full description

Bibliographic Details
Main Authors: Kai, Meng Tay, Chee, Peng Lim
Format: Article
Language:English
Published: IEEE 2011
Subjects:
T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://ir.unimas.my/id/eprint/559/
http://ir.unimas.my/id/eprint/559/1/Optimization%20of%20Gaussian%20Fuzzy%20Membership%20Functions%20and%20Evaluation%20of%20the%20Monotonicity%20Property%20of%20Fuzzy%20Inference%20Systems.pdf

Internet

http://ir.unimas.my/id/eprint/559/
http://ir.unimas.my/id/eprint/559/1/Optimization%20of%20Gaussian%20Fuzzy%20Membership%20Functions%20and%20Evaluation%20of%20the%20Monotonicity%20Property%20of%20Fuzzy%20Inference%20Systems.pdf

Similar Items