Table 12 Overall results for comparative analysis.

From: Classification of possible solutions regarding business engineering problems by using complex Pythagorean fuzzy rough WASPAS approach

Structures

Score values

Ranking results

Optimal result

CFS40

Cannot discuss CPyFR data

No result

No solution

CIFS41

Cannot discuss CPyFR data

No result

No solution

CPyFS42

Cannot discuss CPyFR data

No result

No solution

FRS31

Cannot discuss CPyFR data

No result

No solution

IFRS32

Cannot discuss CPyFR data

No result

No solution

Multi-granulation PyFRS33

Cannot discuss CPyFR data

No result

No solution

The WASPAS Method based on IFS43

Cannot discuss CPyFR data

No result

No solution

The WASPAS techniques for PyF data44

Cannot discuss CPyFR data

No result

No solution

Complex intuitionistic fuzzy rough45 approach

Cannot discuss CPyFR data

No result

No solution

Hesitant FS13,14 approaches

Cannot discuss CPyFR data

No result

No solution

The WASPAS method based on the proposed theory

\(\:S\left({\text{B}}_{1}\right)=0.47488,\:\)

\(\:S\left({\text{B}}_{2}\right)=0.43453\)

\(\:S\left({\text{B}}_{3}\right)=0.44099,\)

\(\:\:S\left({\text{B}}_{4}\right)=0.46946\)

\(\:{A}_{L1}>{A}_{L4}>{A}_{L3}>{A}_{L2}\)

\(\:{A}_{L1}\)

CPyFRYWA AOs (proposed)

\(\:S\left({\text{B}}_{1}\right)=0.5662,\)

\(\:\:S\left({\text{B}}_{2}\right)=0.5082\)

\(\:S\left({\text{B}}_{3}\right)=0.5165,\:\)

\(\:S\left({\text{B}}_{4}\right)=0.5537\)

\(\:{A}_{L1}>{A}_{L4}>{A}_{L3}>{A}_{L2}\)

\(\:{A}_{L1}\)

CPyFRYWG AOs (proposed)

\(\:S\left({\text{B}}_{1}\right)=0.5308,\)

\(\:\:S\left({\text{B}}_{2}\right)=0.4930\)

\(\:S\left({\text{B}}_{3}\right)=0.50027,\)

\(\:\:S\left({\text{B}}_{4}\right)=0.5269\)

\(\:{A}_{L1}>{A}_{L4}>{A}_{L3}>{A}_{L2}\)

\(\:{A}_{L1}\)