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The first applications of fuzzy methods to the vehicle dynamics were related to the formalization of tire parameters, which are used in the brake and acceleration control.
One of the interesting results of the analysis is that a serious gap still persists between pure research and industrial applications of fuzzy methods in automotive engineering.
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Application of fuzzy methods to tackle uncertainties in the data was also observed.
The preliminary search has found only few publications every year with information about application of fuzzy methods in automotive area.
This paper presents practical applications of fuzzy sets methods to power systems control, design, operation and management.
Figure 4 illustrates the optimization problem and the application of the fuzzy method to select the best solution from the Pareto solution set.
Open image in new window Fig. 4 Application of the fuzzy method to select the best solution from the Pareto solution set.
This paper presents the results of a study of the application of neuro-fuzzy methods to predict rock mass rating.
Results indicate that the application of fuzzy FMEA method can solve the problems that have arisen from conventional FMEA, and can efficiently discover the potential failure modes and effects.
This paper presents the results of a study into the application of neuro-fuzzy methods to model the performance of tunnel boring machines.
The application of neuro-fuzzy methods and models and adaptive algorithms to construct information support systems for the operational personnel is considered.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com