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Ahmed et al. (2013) developed a PA criteria-based system by using fuzzy logic.
Besides experimental results were evaluated and predicted with high accuracy by using fuzzy logic (FL) approach.
The first part of the model is developed to classify tool wear by using fuzzy logic.
This paper describes a simple approach to geological interpretation of seismic diffraction stack images by using fuzzy logic.
Because the unknown nonlinearities can be approximated by using fuzzy logic systems, our proposed method is more flexible and applicable.
Annoyance criteria are treated as non-linear functions that can be obtained by using fuzzy logic modelling techniques.
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The purpose of this research is to identify key factors in the e-learning design process and evaluate these identified factors by using fuzzy logic-based Quality Function Deployment.
In this study, the optimization of the digital holography setup is achieved by a using fuzzy logic prediction system.
The values were obtained by aggregating expert knowledge using Fuzzy Logic, as in Figure 5.
We extend the Gordon model for balancing humanoids using fuzzy logic by considering the effects of roll, pitch, and yaw.
By contrast, a safety model using fuzzy logic approach employing fuzzy IF THEN rules can model the qualitative aspects of human knowledge and reasoning processes without employing precise quantitative analyses.
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by using fuzzy theory
by using fuzzy approach
by using fuzzy inference
by adopting fuzzy logic
by using probabilistic logic
by integrating fuzzy logic
by combining fuzzy logic
by applying fuzzy logic
by using predicate logic
by employing fuzzy logic
by using fuzzy membership
by using fuzzy clustering
by using fuzzy programming
by using unsound logic
by using fuzzy weighting-dependent
by using algorithmic logic
by using dynamic logic
by using fuzzy query
by including fuzzy logic
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