fuzzy system

fuzzy system

[¦fəz·ē ′sis·təm]
(systems engineering)
A process that is too complex to be modeled by using conventional mathematical methods, and that gives rise to data that are, in general, soft, with no precise boundaries; examples are large-scale engineering complex systems, social systems, economic systems, management systems, medical diagnostic processes, and human perception.
References in periodicals archive ?
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).
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.
Fuzzy system uses data and knowledge specific to chaotic dynamics of the process and increases the performance of the system.
In [37], 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.