Results 141 to 150 of about 7,859 (213)

Modelling the effect of motivation on mental health components with fuzzy logic among elite athletes. [PDF]

Sci Rep
Şenel AA, Adiloğulları GE, Şenel E.
europepmc   +1 more source

Intelligent trajectory tracking in autonomous plantation robots using PSO-tuned nonlinear fuzzy PID, fuzzy PID, and conventional PID controllers. [PDF]

Sci Rep
Hailu GL, Yatayew TT.
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Sustainable smart agricultural approach in terrace farming through sensor fusion technology. [PDF]

Sci Rep
J K, N S, G K.
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Defuzzification

Handbook of Fuzzy Computation, 2020
M. Mizumoto
openaire   +2 more sources

Some Recent Defuzzification Methods

2017
Defuzzification is a process that converts a fuzzy set or fuzzy number into a crisp value or number. Defuzzification is used in fuzzy modeling and in fuzzy control system to convert the fuzzy outputs from the systems to crisp values. This process is necessary because all fuzzy sets inferred by fuzzy inference in the fuzzy rules must be aggregated to ...
H. Kumar
openaire   +2 more sources

Application of a fuzzy multi-objective defuzzification method to solve a transportation problem

Materials Today: Proceedings, 2021
The base of traffic management is the reliable and real-time traffic flow predictions. A fuzzy multi-objective defuzzification method has been suggested for improving the capability of traffic flow prediction.
J. S. Ahmed, Husam Jasim Mohammed, I. Z. Chaloob   +2 more
semanticscholar   +1 more source

A novel hybrid MCDM model for machine tool selection using fuzzy DEMATEL, entropy weighting and later defuzzification VIKOR

Applied Soft Computing, 2020
Machine tool selection has been an important issue in the manufacturing industry because improper machine tool selection can have a negative effect on productivity, accuracy, flexibility, and the responsive manufacturing capabilities of a company.
Hai Li, Wei Wang, Lei Fan, Qingzhao Li, Xuezhen Chen   +4 more
semanticscholar   +1 more source

Modeling and Analysis of Mamdani Two-Term Controllers Using Non-Uniformly Distributed Multiple Fuzzy Sets and CoA/CoG Defuzzification

IETE Technical Review, 2021
While fuzzy controllers with multiple fuzzy sets and non-uniformly distributed membership functions have the potential to provide better system performance, from the literature, it appears to the authors that till now, no one has found exact mathematical
Manoranjan Praharaj, B. Mohan
semanticscholar   +1 more source

An Analytical Survey of Defuzzification Techniques

2021 IEEE 4th International Conference on Computing, Power and Communication Technologies (GUCON), 2021
Defuzzification is the final unit of a fuzzy system that provides the crisp output from the fuzzy output. There are several defuzzification techniques. The selection of defuzzification technique greatly influences the outcome of a fuzzy inference system.
Anup Kumar Mallick, Achintya Das
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Modeling, simulation and experimental realization of a new nonlinear fuzzy PID controller using Center of Gravity defuzzification.

ISA transactions, 2020
Though Center of Gravity (CoG) defuzzification is a well-known and long-standing method in the history of fuzzy systems, because of its computational complexity, its use in the field of modeling of fuzzy controllers is almost nil.
Debdoot Sain, B. Mohan
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