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This was made necessary due to the need to undertake grey analysis on the set of fuzzy classes.
The effect of the weighting coefficient considered in grey analysis can be visualized in grey output results.
When experiments are uncertain or if the experimental method cannot be performed accurately, Grey analysis contributes to compensating for the lack of statistical regression.
In the case when experiments are ambiguous or when the experimental method cannot be carried out exactly, grey analysis helps to compensate for the shortcomings in statistical regression.
Table 7 Optimised process parameters of WEDM by Grey analysis Parameter Value Units T on 20 µs T off 15 µs IP 2 A Wire feed 50 mm/s.
Then, the grey analysis together with weighted principal component analysis is successfully employed for finding out the optimal combinations of the design process parameters of electroless Ni-P-Cu coatings for better value of polarization test and also considering the polarization and wear test together.
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Our optimization is based on grey relational analysis and an analysis of variance in conjunction with the Taguchi method, which uses an orthogonal array.
An integrated approach incorporating response surface methodology (RS M, grey relational analysis, and fuzzy logic analysis was developed to quantitatively evaluate the conditioning chemicals in sludge dewatering process.
We also used the grey relational analysis to conduct a sensitivity analysis of the parameters of the model.
The results of confirmation experiments reveal that grey relational analysis coupled with principal component analysis can effectively acquire the optimal combination of cutting parameters.
Due to the limitation of simulation, grey correlation analysis is used as quantitative analysis of weight on the factors influencing fracture morphology.
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