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Table 8 different ranking results with different \(\lambda\)

From: Probabilistic linguistic fuzzy cognitive maps: applications to the critical factors affecting the health of rural older adults

\(\lambda = 2\)

\(\lambda = 3\)

\(\lambda = 4\)

\(\lambda = 6\)

\(\lambda = 8\)

\(\lambda = 10\)

Similarity

Factors

Similarity

Factors

Similarity

Factors

Similarity

Factors

Similarity

Factors

Similarity

Factors

0.6346

\(C_{8}\)

0.8071

\(C_{8}\)

0.9049

\(C_{8}\)

0.9766

\(C_{8}\)

0.9942

\(C_{8}\)

0.9986

\(C_{8}\)

0.7467

\(C_{1}\)

0.8590

\(C_{1}\)

0.9299

\(C_{1}\)

0.9833

\(C_{1}\)

0.9961

\(C_{1}\)

0.9991

\(C_{1}\)

0.7539

\(C_{4}\)

0.8625

\(C_{4}\)

0.9313

\(C_{4}\)

0.9835

\(C_{4}\)

0.9961

\(C_{4}\)

0.9991

\(C_{4}\)

0.7642

\(C_{7}\)

0.8775

\(C_{7}\)

0.9424

\(C_{7}\)

0.9876

\(C_{7}\)

0.9974

\(C_{7}\)

0.9994

\(C_{7}\)

0.8393

\(C_{6}\)

0.9145

\(C_{6}\)

0.9571

\(C_{6}\)

0.9898

\(C_{6}\)

0.9977

\(C_{6}\)

0.9995

\(C_{6}\)

0.8397

\(C_{2}\)

0.9154

\(C_{2}\)

0.9604

\(C_{2}\)

0.9918

\(C_{2}\)

0.9983

\(C_{2}\)

0.9997

\(C_{2}\)

0.8785

\(C_{3}\)

0.9339

\(C_{3}\)

0.9694

\(C_{3}\)

0.9941

\(C_{3}\)

0.9989

\(C_{3}\)

0.9998

\(C_{3}\)

0.8810

\(C_{5}\)

0.9471

\(C_{5}\)

0.9789

\(C_{5}\)

0.9968

\(C_{5}\)

0.9995

\(C_{5}\)

0.9999

\(C_{9}\)

0.8943

\(C_{9}\)

0.9555

\(C_{9}\)

0.9817

\(C_{9}\)

0.9970

\(C_{9}\)

0.9995

\(C_{9}\)

0.9999

\(C_{5}\)

0.9082

\(C_{11}\)

0.9679

\(C_{11}\)

0.9884

\(C_{11}\)

0.9982

\(C_{12}\)

0.9997

\(C_{11}\)

0.9999

\(C_{11}\)

0.9193

\(C_{12}\)

0.9696

\(C_{12}\)

0.9887

\(C_{12}\)

0.9983

\(C_{11}\)

0.9997

\(C_{12}\)

1.0000

\(C_{12}\)

0.9562

\(C_{10}\)

0.9800

\(C_{10}\)

0.9926

\(C_{10}\)

0.9991

\(C_{10}\)

0.9999

\(C_{10}\)

1.0000

\(C_{10}\)