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Table 5 Emotional Expressions and Action Unit Combinations for Linguistic and QSFNs

From: A hybrid neuro fuzzy decision-making approach to the participants of derivatives market for fintech investors in emerging economies

Emotions

Selected AUs

Pair combinations of AUs

Scales for criteria

Scales for alternatives

Possibility degrees

QSFNs

Contempt (Disdain)

7,10,14,15

(7,10),(7,14),(7,15),

(10,14),(10,15),(14,15)

No influence (n)

Weakest (w)

0.40

\(\left[\begin{array}{c}\sqrt{0.16}{e}^{j2\pi .0.4},\\ \sqrt{0.10}{e}^{j2\pi .0.25},\\ \sqrt{0.74}{e}^{j2\pi .0.35}\end{array}\right]\)

Intermediate Emotion

1 AU of Contempt + 1 AU of Surprise

(7,1),(7,2),(7,5),

(7,27), (10,1),(10,2),

(10,5),(10,27),(14,1),

(14,2),(14,5),(14,27), (15,1),(15,2),(15,5),

(15,27)

somewhat influence (s)

Poor (p)

0.45

\(\left[\begin{array}{c}\sqrt{0.20}{e}^{j2\pi .0.45},\\ \sqrt{0.13}{e}^{j2\pi .0.28},\\ \sqrt{0.67}{e}^{j2\pi .0.27}\end{array}\right]\)

Surprise

1,2,5,27

1 AU of Contempt + 1 AU of Happy

(1,2),(1,5),(1,27),

(2,5),(2,27),(5,27)

(7,6),(7,12),(7,25),

(7,26), (10,6),(10,12),

(10,25),(10,26),(14,6),

(14,12),(14,25),(14,26),(15,6),

(15,12),(15,25),(15,26)

medium influence (m)

Fair (f)

0.50

\(\left[\begin{array}{c}\sqrt{0.25}{e}^{j2\pi .0.50},\\ \sqrt{0.15}{e}^{j2\pi .0.31},\\ \sqrt{0.60}{e}^{j2\pi .0.19}\end{array}\right]\)

Intermediate Emotion

1 AU of Surprise + 1 AU of Happy

(1,6),(1,12),(1,25),

(1,26),(2,6),(2,12),

(2,25),(2,26),(5,6),

(5,12),(5,25),(5,26),

(27,6),(27,12),(27,25),

(27,26)

high influence (h)

Good (g)

0.55

\(\left[\begin{array}{c}\sqrt{0.30}{e}^{j2\pi .0.55},\\ \sqrt{0.19}{e}^{j2\pi .0.34},\\ \sqrt{0.51}{e}^{j2\pi .0.11}\end{array}\right]\)

Happiness

6,12,25,26

(6,12),(6,25),(6,26),

(12,25),(12,26),(25,26)

very high influence (vh)

Best (b)

0.60

\(\left[\begin{array}{c}\sqrt{0.36}{e}^{j2\pi .0.6},\\ \sqrt{0.22}{e}^{j2\pi .0.37},\\ \sqrt{0.42}{e}^{j2\pi .0.03}\end{array}\right]\)