Table 2 Linguistic terms used for evaluating the alternatives concerning criteria in the form of cpyfvs.

From: WASPAS-based multi-expert decision algorithm for physical education using circular pythagorean fuzzy aggregation with prioritized weights

Linguistic term

Membership

Non-membership

Radius

More good (MG)

0.95

0.05

0.50

Very high good (VHG)

0.90

0.15

0.53

High good (HG)

0.85

0.25

0.55

Slightly critical good (SCG)

0.80

0.35

0.58

Equal good (EG)

0.75

0.45

0.60

Slightly low bad (SLB)

0.70

0.55

0.63

Bad (B)

0.65

0.65

0.65

Low bad (LB)

0.60

0.75

0.68

Very low bad (VLB)

0.55

0.80

0.68