Fuzzy Performance between Surface Fitting and Energy Distribution in Turbulence Runner

Table 9

Fuzzy relation degrees between experimental condition parameters and kinetic energy distribution surface features in the form of energy optimization modeling surface.

Condition	Feature 1	Feature 2	Feature 3	Feature 4	Feature 5
Number of control points (u)	0.1542	0.5547	0.6354	0.2254	0.3654
Number of control points (v)	0.6635	0.6235	0.5524	0.1687	0.5547
Order of spline surface	0.2587	0.5842	0.4852	0.6245	0.6325
Order of knot vector	0.9856	0.3369	0.2653	0.6952	0.9236
Order of normal vectors	0.8854	0.3158	0.4875	0.9025	0.2254
Order of derivative vectors	0.7536	0.4758	0.2654	0.9125	0.5784
Number of constraint vectors	0.6658	0.6125	0.5524	0.2458	0.2654
Order of constraint vectors	0.6235	0.4857	0.6932	0.6214	0.2036
Order of continuous level	0.4859	0.6235	0.9245	0.6254	0.5147
Kinetic energy coefficient	0.3698	0.5547	0.8954	0.3652	0.2658
Rank of derivative matrix	0.9325	0.2584	0.8214	0.3924	0.4852
Approximate error range	0.9254	0.2415	0.6352	0.9226	0.6214