[[abstract]]In this paper, a parameter structure of fuzzy system is presented along with a fuzzy set elimination method is proposed, which enables an auto-generating method not only to determine an appropriate fuzzy system with a high performance but also to favor the selected system with fewer fuzzy rules. An inverted pendulum control problem is utilized to illustrate the efficiency of the proposed method in the fuzzy system design.[[conferencetype]]國際[[conferencedate]]19970701~19970705[[booktype]]紙本[[conferencelocation]]Barcelona, Catalonia, Spai
With the availability of a wide range of Evolutionary Algorithms such as Genetic Algorithms, Evo-lut...
Abstract—This paper presents a self-organized genetic algo-rithm-based rule generation (SOGARG) meth...
With the availability of a wide range of Evolution-ary Algorithms such as Genetic Algorithms, Evolu-...
[[abstract]]In this paper, a self-generating method based on genetic algorithms is proposed to autom...
[[abstract]]This paper presents an innovative method for extracting fuzzy rules directly from numeri...
[[abstract]]This article presents an innovative method for designing fuzzy systems composed of fewer...
For the design of a fuzzy controller it is necessary to choose, besides other parameters, suitable m...
AbstractWe present a cascaded genetic algorithm which automatically generates high-performance fuzzy...
[[abstract]]This paper proposes a GA-based method to construct an appropriate fuzzy classification s...
[[abstract]]Fuzzy rules generation is known an important task in designing fuzzy systems. This artic...
Abstract: The reverse moving pendulum system, because of its nonlinear unstable and non-minimum phas...
With the availability of a wide range of evolutionary algorithms such as genetic algorithms, evoluti...
This paper proposes a fuzzy classifier system (FCS) using fuzzy rules given by hyper-cone membership...
[[abstract]]A multituning fuzzy control system structure that involves two simple, but effective tun...
An approach to auto-generation of fuzzy rule-based models is proposed in the paper. Its main advanta...
With the availability of a wide range of Evolutionary Algorithms such as Genetic Algorithms, Evo-lut...
Abstract—This paper presents a self-organized genetic algo-rithm-based rule generation (SOGARG) meth...
With the availability of a wide range of Evolution-ary Algorithms such as Genetic Algorithms, Evolu-...
[[abstract]]In this paper, a self-generating method based on genetic algorithms is proposed to autom...
[[abstract]]This paper presents an innovative method for extracting fuzzy rules directly from numeri...
[[abstract]]This article presents an innovative method for designing fuzzy systems composed of fewer...
For the design of a fuzzy controller it is necessary to choose, besides other parameters, suitable m...
AbstractWe present a cascaded genetic algorithm which automatically generates high-performance fuzzy...
[[abstract]]This paper proposes a GA-based method to construct an appropriate fuzzy classification s...
[[abstract]]Fuzzy rules generation is known an important task in designing fuzzy systems. This artic...
Abstract: The reverse moving pendulum system, because of its nonlinear unstable and non-minimum phas...
With the availability of a wide range of evolutionary algorithms such as genetic algorithms, evoluti...
This paper proposes a fuzzy classifier system (FCS) using fuzzy rules given by hyper-cone membership...
[[abstract]]A multituning fuzzy control system structure that involves two simple, but effective tun...
An approach to auto-generation of fuzzy rule-based models is proposed in the paper. Its main advanta...
With the availability of a wide range of Evolutionary Algorithms such as Genetic Algorithms, Evo-lut...
Abstract—This paper presents a self-organized genetic algo-rithm-based rule generation (SOGARG) meth...
With the availability of a wide range of Evolution-ary Algorithms such as Genetic Algorithms, Evolu-...