International Journal of Fuzzy System
, 16(2) (2014), 242-255.
Hai-gang "Center of gravity fuzzy system
based on regular fuzzy implication and its probability representation", 7th Int.
In this paper, an optimization of a fuzzy based intrusion detection system is proposed which automate the process of producing a fuzzy system
by using an Adaptive Neuro-Fuzzy Inference System (ANFIS) for the initialization of the FIS and then optimize this initialized system by using Genetic Algorithm (GA).
In this diagram of a generalized fuzzy system
is explained in Fig.
On the foundation of fuzzy system
theory, the paper also introduced a multi-index fuzzy measurement model of PE class teaching levels in high schools (Kaveh, 2013; Wu, 2014; Radko, 2015; Rao, 2016; LI, 2013).
Finally, the membership functions are defined in a data base that is the knowledge base of the fuzzy system
The driver's braking intention is identified by a fuzzy system
A fuzzy system
is a system based on fuzzy logic, in which the idea is to infer information about a variable from the information about its relation with another variable and finally reach information about the last one.
This means, the main intention of neural- fuzzy approach is to create or improve a fuzzy system
automatically by means of neural network methods.
uses data and knowledge specific to chaotic dynamics of the process and increases the performance of the system.
In , a hybrid task-space trajectory and force tracking based on fuzzy system
and adaptive mechanism were proposed to compensate for the external perturbation, kinematics, and dynamic uncertainties.
In this paper the method which we considered linear equation for solving fuzzy system
has several advantage rather previous methods.