Apr 8, 2003 · The learning of fuzzy control rules can be defined as a constrained nonlinear optimization problem so that its objective function is ...

The α-constrained Simplex method is an optimization method for constrained problems using the α-level comparison that takes account of the constraint ...

The learning of fuzzy control rules can be defined as a constrained nonlinear optimization problem so that its objective function is indifferentiable.

The learning of fuzzy control rules can be defined as a constrained nonlinear optimization problem so that its objective function is indifferentiable.

The learning of fuzzy control rules can be considered as a nonlinear optimization problem in which the objective function isn't differentiable.

Learning fuzzy control rules by alpha constrained simplex method. Contribution Type, Co-Authored Publication. Journal, Proc. of the 4th Asian/Pacific Inter ...

Learning fuzzy control rules by α constrained simplex method. Proc. of the 4th Asian/Pacific Inter. Sympo. on Instrumentation , Measurement and Automatic ...

In this study, we propose an α-constrained Simplex method, in which the α-level comparison is added to the Simplex method, which is a nonlinear optimization ...

The effectiveness of the constrained simplex method is shown by comparing its performance with that of the stochastic ranking method on various constrained ...

“Tuning fuzzy control rules by the ? constrained method which solves constrained nonlinear optimization problems” is a paper by Tetsuyuki Takahama Setsuko Sakai ...