Table 3 Performance difference values.

From: Extended PROMETHEE method with (p,q)-rung linear Diophantine fuzzy sets for robot selection problem

 

\({\mathfrak {C}}_{1}\)

\({\mathfrak {C}}_{2}\)

\({\mathfrak {C}}_{3}\)

\({\mathfrak {C}}_{4}\)

\({\mathfrak {C}}_{5}\)

\({\mathfrak {d}}({\mathfrak {A}}_{1}, {\mathfrak {A}}_{2})\)

0.1189

0.2310

− 0.0011

0.0886

0.0380

\({\mathfrak {d}}({\mathfrak {A}}_{1}, {\mathfrak {A}}_{3})\)

0.0945

0.0923

− 0.0124

0.0386

0.0313

\({\mathfrak {d}}({\mathfrak {A}}_{1}, {\mathfrak {A}}_{4})\)

0.1397

0.1153

− 0.7376

0.0737

0.0365

\({\mathfrak {d}}({\mathfrak {A}}_{1}, {\mathfrak {A}}_{5})\)

0.1592

0.2024

0.7590

0.1227

0.0464

\({\mathfrak {d}}({\mathfrak {A}}_{2}, {\mathfrak {A}}_{1})\)

− 0.1189

− 0.2310

0.0011

− 0.0886

− 0.0380

\({\mathfrak {d}}({\mathfrak {A}}_{2}, {\mathfrak {A}}_{3})\)

− 0.0244

− 0.1387

− 0.0113

− 0.0500

− 0.0070

\({\mathfrak {d}}({\mathfrak {A}}_{2}, {\mathfrak {A}}_{4})\)

0.0208

− 0.1157

0.0496

− 0.0149

− 0.0015

\({\mathfrak {d}}({\mathfrak {A}}_{2}, {\mathfrak {A}}_{5})\)

0.0403

− 0.0286

0.0770

0.0341

0.0084

\({\mathfrak {d}}({\mathfrak {A}}_{3}, {\mathfrak {A}}_{1})\)

− 0.0945

− 0.0923

0.0124

− 0.0386

− 0.0313

\({\mathfrak {d}}({\mathfrak {A}}_{3}, {\mathfrak {A}}_{2})\)

0.0244

0.1387

0.0113

0.0500

0.0070

\({\mathfrak {d}}({\mathfrak {A}}_{3}, {\mathfrak {A}}_{4})\)

0.0452

0.0230

0.0609

0.0351

0.0052

\({\mathfrak {d}}({\mathfrak {A}}_{3}, {\mathfrak {A}}_{5})\)

0.0647

0.1101

0.0883

0.0841

0.0151

\({\mathfrak {d}}({\mathfrak {A}}_{4}, {\mathfrak {A}}_{1})\)

− 0.1397

− 0.1153

0.7376

− 0.0737

− 0.0365

\({\mathfrak {d}}({\mathfrak {A}}_{4}, {\mathfrak {A}}_{2})\)

− 0.0208

0.1157

− 0.0496

0.0149

0.0015

\({\mathfrak {d}}({\mathfrak {A}}_{4}, {\mathfrak {A}}_{3})\)

− 0.0452

− 0.2300

− 0.0609

− 0.0351

− 0.0052

\({\mathfrak {d}}({\mathfrak {A}}_{4}, {\mathfrak {A}}_{5})\)

0.0195

0.0871

0.0274

0.0490

0.0099

\({\mathfrak {d}}({\mathfrak {A}}_{5}, {\mathfrak {A}}_{1})\)

− 0.1592

− 0.2024

− 0.7590

− 0.1227

0.0313

\({\mathfrak {d}}({\mathfrak {A}}_{5}, {\mathfrak {A}}_{2})\)

− 0.0403

0.0286

− 0.0770

− 0.3410

− 0.0084

\({\mathfrak {d}}({\mathfrak {A}}_{5}, {\mathfrak {A}}_{3})\)

− 0.0647

− 0.1101

− 0.0883

− 0.0841

− 0.0151

\({\mathfrak {d}}({\mathfrak {A}}_{5}, {\mathfrak {A}}_{4})\)

− 0.0195

− 0.0871

− 0.0274

− 0.0490

− 0.0099