Table 3 IVBPFS data for alternative \(\:{\varvec{{\rm\:Y}}}_{1}\).

From: Significance and classification of AI-driven techniques in telecommunication sectors based on interval-valued bipolar fuzzy soft aggregation operators

Experts

\(\:{\text{e}}_{1}\)

\(\:{\text{e}}_{2}\)

\(\:{\text{e}}_{3}\)

\(\:{\text{e}}_{4}\)

\(\:{\text{e}}_{5}\)

\(\:{\in}_{1}\)

\(\:\left(\hspace*{-6pt}\begin{array}{c}\left[0.12,\:0.13\right],\\\:\:\left[-0.14,\:-0.12\right]\end{array}\hspace*{-6pt}\right)\)

\(\:\left(\hspace*{-6pt}\begin{array}{c}\left[0.10,\:0.11\right],\\\:\:\left[-0.16,\:-0.13\right]\end{array}\hspace*{-6pt}\right)\)

\(\:\left(\hspace*{-6pt}\begin{array}{c}\left[0.10,\:0.20\right],\\\:\:\left[-0.51,\:-0.41\right]\end{array}\hspace*{-6pt}\right)\)

\(\:\left(\hspace*{-6pt}\begin{array}{c}\left[0.65,\:0.71\right],\\\:\:\left[-0.45,\:-0.35\right]\end{array}\hspace*{-6pt}\right)\)

\(\:\left(\hspace*{-6pt}\begin{array}{c}\left[0.57,\:0.61\right],\\\:\:\left[-0.38,\:-0.21\right]\end{array}\hspace*{-6pt}\right)\)

\(\:{\in}_{2}\)

\(\:\left(\hspace*{-6pt}\begin{array}{c}\left[0.11,\:0.14\right],\\\:\:\left[-0.15,\:-0.13\right]\end{array}\hspace*{-6pt}\right)\)

\(\:\left(\hspace*{-6pt}\begin{array}{c}\left[0.12,\:0.20\right],\\\:\:\left[-0.16,\:-0.13\right]\end{array}\hspace*{-6pt}\right)\)

\(\:\left(\hspace*{-6pt}\begin{array}{c}\left[0.61,\:0.71\right],\\\:\:\left[-0.31,\:-0.21\right]\end{array}\hspace*{-6pt}\right)\)

\(\:\left(\hspace*{-6pt}\begin{array}{c}\left[0.45,\:0.46\right],\\\:\:\left[-0.47,\:-0.43\right]\end{array}\hspace*{-6pt}\right)\)

\(\:\left(\hspace*{-6pt}\begin{array}{c}\left[0.29,\:0.31\right],\\\:\:\left[-0.18,\:-0.12\right]\end{array}\hspace*{-6pt}\right)\)

\(\:{\in}_{3}\)

\(\:\left(\hspace*{-6pt}\begin{array}{c}\left[0.10,\:0.16\right],\\\:\:\left[-0.11,\:-0.10\right]\end{array}\hspace*{-6pt}\right)\)

\(\:\left(\hspace*{-6pt}\begin{array}{c}\left[0.60,\:0.70\right],\\\:\:\left[-0.31,\:-0.21\right]\end{array}\hspace*{-6pt}\right)\)

\(\:\left(\hspace*{-6pt}\begin{array}{c}\left[0.51,\:0.61\right],\\\:\:\left[-0.30,\:-0.21\right]\end{array}\hspace*{-6pt}\right)\)

\(\:\left(\hspace*{-6pt}\begin{array}{c}\left[0.31,\:0.32\right],\\\:\:\left[-0.25,\:-0.23\right]\end{array}\hspace*{-6pt}\right)\)

\(\:\left(\hspace*{-6pt}\begin{array}{c}\left[0.47,\:0.48\right],\\\:\:\left[-0.56,\:-0.55\right]\end{array}\hspace*{-6pt}\right)\)

\(\:{\in}_{4}\)

\(\:\left(\hspace*{-6pt}\begin{array}{c}\left[0.18,\:0.19\right],\\\:\:\left[-0.13,\:-0.11\right]\end{array}\hspace*{-6pt}\right)\)

\(\:\left(\hspace*{-6pt}\begin{array}{c}\left[0.13,\:0.51\right],\\\:\:\left[-0.40,\:-0.30\right]\end{array}\hspace*{-6pt}\right)\)

\(\:\left(\hspace*{-6pt}\begin{array}{c}\left[0.43,\:0.52\right],\\\:\:\left[-0.40,\:-0.32\right]\end{array}\hspace*{-6pt}\right)\)

\(\:\left(\hspace*{-6pt}\begin{array}{c}\left[0.37,\:0.39\right],\\\:\:\left[-0.34,\:-0.30\right]\end{array}\hspace*{-6pt}\right)\)

\(\:\left(\hspace*{-6pt}\begin{array}{c}\left[0.57,\:0.59\right],\\\:\:\left[-0.29,\:-0.21\right]\end{array}\hspace*{-6pt}\right)\)

\(\:{\in}_{5}\)

\(\:\left(\hspace*{-6pt}\begin{array}{c}\left[0.19,\:0.20\right],\\\:\:\left[-0.18,\:-0.16\right]\end{array}\hspace*{-6pt}\right)\)

\(\:\left(\hspace*{-6pt}\begin{array}{c}\left[0.31,\:0.40\right],\\\:\:\left[-0.21,\:-0.11\right]\end{array}\hspace*{-6pt}\right)\)

\(\:\left(\hspace*{-6pt}\begin{array}{c}\left[0.21,\:0.56\right],\\\:\:\left[-0.11,\:-0.10\right]\end{array}\hspace*{-6pt}\right)\)

\(\:\left(\hspace*{-6pt}\begin{array}{c}\left[0.12,\:0.21\right],\\\:\:\left[-0.15,\:-0.14\right]\end{array}\hspace*{-6pt}\right)\)

\(\:\left(\hspace*{-6pt}\begin{array}{c}\left[0.28,\:0.29\right],\\\:\:\left[-0.17,\:-0.13\right]\end{array}\hspace*{-6pt}\right)\)

Back to article page