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Table 6 Fuzzy equivalence matrix

From: A web sentiment analysis method on fuzzy clustering for mobile social media users

1

0.859

0.7806

0.6343

0.6769

0.7113

0.7098

0.8931

0.8931

0.8075

0.8195

0.8195

0.762

0.7512

0.7744

0.859

1

0.7806

0.6343

0.6944

0.7113

0.7098

0.859

0.8075

0.7592

0.8195

0.7744

0.7528

0.7528

0.7744

0.7806

0.7806

1

0.6343

0.6695

0.6944

0.7098

0.7806

0.7806

0.7592

0.7806

0.7512

0.7025

0.7025

0.7386

0.6343

0.6343

0.6343

1

0.6444

0.6444

0.6444

0.6285

0.6343

0.6343

0.6343

0.5861

0.5541

0.5586

0.5749

0.6769

0.6944

0.6695

0.6444

1

0.7486

0.7459

0.6285

0.6769

0.6769

0.6927

0.7113

0.6128

0.6838

0.667

0.7113

0.7113

0.6944

0.6444

0.7486

1

0.7459

0.6944

0.6893

0.6909

0.7113

0.7113

0.7113

0.7113

0.7113

0.7098

0.7098

0.7098

0.6444

0.7459

0.7459

1

0.7098

0.7098

0.7098

0.7098

0.7113

0.6457

0.6909

0.667

0.8931

0.859

0.7806

0.6285

0.6285

0.6944

0.7098

1

0.9033

0.8649

0.8195

0.7585

0.7585

0.725

0.7521

0.8931

0.8075

0.7806

0.6343

0.6769

0.6893

0.7098

0.9033

1

0.8649

0.8075

0.7512

0.6729

0.725

0.6729

0.8075

0.7592

0.7592

0.6343

0.6769

0.6909

0.7098

0.8649

0.8649

1

0.7592

0.7512

0.725

0.725

0.6671

0.8195

0.8195

0.7806

0.6343

0.6927

0.7113

0.7098

0.8195

0.8075

0.7592

1

0.9257

0.8349

0.762

0.7808

0.8195

0.7744

0.7512

0.5861

0.7113

0.7113

0.7113

0.7585

0.7512

0.7512

0.9257

1

0.8349

0.8288

0.7808

0.762

0.7528

0.7025

0.5541

0.6128

0.7113

0.6457

0.7585

0.6729

0.725

0.8349

0.8349

1

0.8288

0.7808

0.7512

0.7528

0.7025

0.5586

0.6838

0.7113

0.6909

0.725

0.725

0.725

0.762

0.8288

0.8288

1

0.7563

0.7744

0.7744

0.7386

0.5749

0.667

0.7113

0.667

0.7521

0.6729

0.6671

0.7808

0.7808

0.7808

0.7563

1