Table 6 The influence of parameter \(p\) on selection findings (where \(q=2\)).

From: Quasirung orthopair fuzzy linguistic sets and their application to multi criteria decision making

\(p\)

\(q\)

Score values

Best alternative

\({\mathcal{B}}_{1}\)

\({\mathcal{B}}_{2}\)

\({\mathcal{B}}_{3}\)

\({\mathcal{B}}_{4}\)

\(2\)

\(2\)

\(0.1369\)

\(0.1689\)

\(0.3722\)

\(0.1750\)

\({\mathcal{B}}_{3}\)

\(3\)

\(2\)

\(0.1246\)

\(0.1522\)

\(0.3328\)

\(0.1570\)

\({\mathcal{B}}_{3}\)

\(4\)

\(2\)

\(0.1197\)

\(0.1438\)

\(0.3094\)

\(0.1465\)

\({\mathcal{B}}_{3}\)

\(5\)

\(2\)

\(0.1177\)

\(0.1393\)

\(0.2953\)

\(0.1402\)

\({\mathcal{B}}_{3}\)

\(6\)

\(2\)

\(0.1168\)

\(0.1369\)

\(0.2867\)

\(0.1363\)

\({\mathcal{B}}_{3}\)

\(7\)

\(2\)

\(0.1164\)

\(0.1355\)

\(0.2815\)

\(0.1338\)

\({\mathcal{B}}_{3}\)

\(8\)

\(2\)

\(0.1162\)

\(0.1347\)

\(0.2782\)

\(0.1322\)

\({\mathcal{B}}_{3}\)

\(9\)

\(2\)

\(0.1161\)

\(0.1343\)

\(0.2761\)

\(0.1312\)

\({\mathcal{B}}_{3}\)

\(10\)

\(2\)

\(0.1161\)

\(0.1340\)

\(0.2747\)

\(0.1305\)

\({\mathcal{B}}_{3}\)

\(11\)

\(2\)

\(0.1160\)

\(0.1339\)

\(0.2738\)

\(0.1300\)

\({\mathcal{B}}_{3}\)

\(12\)

\(2\)

\(0.1160\)

\(0.1338\)

\(0.2733\)

\(0.1297\)

\({\mathcal{B}}_{3}\)

\(13\)

\(2\)

\(0.1160\)

\(0.1337\)

\(0.2729\)

\(0.1295\)

\({\mathcal{B}}_{3}\)

\(14\)

\(2\)

\(0.1160\)

\(0.1337\)

\(0.2726\)

\(0.1293\)

\({\mathcal{B}}_{3}\)

\(15\)

\(2\)

\(0.1160\)

\(0.1337\)

\(0.2725\)

\(0.1292\)

\({\mathcal{B}}_{3}\)