Results 231 to 240 of about 43,173 (275)
Some of the next articles are maybe not open access.
Takagi-Sugeno Approximation of a Mamdani Fuzzy System
2014In the present paper we construct a higher order Takagi-Sugeno fuzzy system that approximates a Mamdani fuzzy system, with arbitrary accuracy. The goal of this construction is to reduce the computational complexity of a fuzzy systems considered, also to replace a nonlinear operator by an approximate linear operator.
Barnabás Bede, Imre J. Rudas
openaire +1 more source
On the Paradoxical Success of Mamdani’s Minimum-Based Inference
2012Mamdani’s inference has an incredible success, especially in areas such as decision making and control. Yet, it is well known that it uses a min-based implication that does not verify classical boolean logic requirements.This contribution aims at, in the one hand, exploring Mamdani’s choice from a practical point of view, and in the other hand ...
Detyniecki, Marcin +2 more
openaire +1 more source
2009
This chapter contains sections titled: Introduction PID Control Different Types of Fuzzy Controllers Fuzzy PI/PD Controllers as Linear PI/PD Controllers Fuzzy PI/PD Controllers as Piecewise Linear PI/PD Controllers Simplest Fuzzy PI Controller as Nonlinear Variable Gain PI Controller Another Simplest Fuzzy PI ...
openaire +1 more source
This chapter contains sections titled: Introduction PID Control Different Types of Fuzzy Controllers Fuzzy PI/PD Controllers as Linear PI/PD Controllers Fuzzy PI/PD Controllers as Piecewise Linear PI/PD Controllers Simplest Fuzzy PI Controller as Nonlinear Variable Gain PI Controller Another Simplest Fuzzy PI ...
openaire +1 more source
Conflict typology in Mamdani systems
2003Une base de règles peut être affectée de défauts comme l'incohérence ou la redondance. Ceci est particulièrement vrai lorsque la base de règles résulte de la fusion de deux bases élémentaires, par exemple une base de règles expertes et l'autre induite d'un jeu de données.
Guillaume, S., Magdalena, L.
openaire +1 more source
Ensembles of the Mamdani Fuzzy Systems
2012This chapter describes a family of fuzzy systems that use neural network like approach for learning and visualizing the system.Models in this chapter have their antecedents and consequents of rules connected by a t-norm. Such systems are called the Mamdani type neuro-fuzzy systems and they are the most common neuro-fuzzy systems. As it is emphasized in
openaire +1 more source
A New Design of Mamdani Complex Fuzzy Inference System for Multiattribute Decision Making Problems
IEEE Transactions on Fuzzy Systems, 2021Ganeshsree Selvachandran +2 more
exaly