Table 10 Conversion of fourth DMK’s preferences in the form of BCFNs.

From: Prioritizing image processing and big data analytics factors for software development using DEMATEL-choquet method in bipolar complex fuzzy context

 

\({\boldsymbol{\Pi }}_{1}\)

\({\boldsymbol{\Pi }}_{2}\)

\({\boldsymbol{\Pi }}_{3}\)

\({\boldsymbol{\Pi }}_{1}\)

\(\left(\begin{array}{c}0.50+0.50l,\\ -0.50-0.50l\end{array}\right)\)

\(\left(\begin{array}{c}0.38+0.42l,\\ -0.28-0.32l\end{array}\right)\)

\(\left(\begin{array}{c}0.48+0.52l,\\ -0.18-0.28l\end{array}\right)\)

\({\boldsymbol{\Pi }}_{2}\)

\(\left(\begin{array}{c}0.38+0.42l,\\ -0.28-0.32l\end{array}\right)\)

\(\left(\begin{array}{c}0.50+0.50l,\\ -0.50-0.50l\end{array}\right)\)

\(\left(\begin{array}{c}0.38+0.42l,\\ -0.28-0.32l\end{array}\right)\)

\({\boldsymbol{\Pi }}_{3}\)

\(\left(\begin{array}{c}0.48+0.52l,\\ -0.18-0.28l\end{array}\right)\)

\(\left(\begin{array}{c}0.38+0.42l,\\ -0.28-0.32l\end{array}\right)\)

\(\left(\begin{array}{c}0.50+0.50l,\\ -0.50-0.50l\end{array}\right)\)

\({\boldsymbol{\Pi }}_{4}\)

\(\left(\begin{array}{c}0.20+0.40l,\\ -0.45-0.48l\end{array}\right)\)

\(\left(\begin{array}{c}0.48+0.52l,\\ -0.18-0.28l\end{array}\right)\)

\(\left(\begin{array}{c}0.30+0.40l,\\ -0.35-0.39l\end{array}\right)\)

\({\boldsymbol{\Pi }}_{5}\)

\(\left(\begin{array}{c}0.38+0.42l,\\ -0.28-0.32l\end{array}\right)\)

\(\left(\begin{array}{c}0.30+0.40l,\\ -0.35-0.39l\end{array}\right)\)

\(\left(\begin{array}{c}0.48+0.52l,\\ -0.18-0.28l\end{array}\right)\)

\({\boldsymbol{\Pi }}_{6}\)

\(\left(\begin{array}{c}0.30+0.40l,\\ -0.35-0.39l\end{array}\right)\)

\(\left(\begin{array}{c}0.48+0.52l,\\ -0.18-0.28l\end{array}\right)\)

\(\left(\begin{array}{c}0.20+0.40l,\\ -0.45-0.48l\end{array}\right)\)

 

\({\Pi }_{4}\)

\({\Pi }_{5}\)

\({\Pi }_{6}\)

\({\boldsymbol{\Pi }}_{1}\)

\(\left(\begin{array}{c}0.30+0.40l,\\ -0.35-0.39l\end{array}\right)\)

\(\left(\begin{array}{c}0.48+0.52l,\\ -0.18-0.28l\end{array}\right)\)

\(\left(\begin{array}{c}0.30+0.40l,\\ -0.35-0.39l\end{array}\right)\)

\({\boldsymbol{\Pi }}_{2}\)

\(\left(\begin{array}{c}0.48+0.52l,\\ -0.18-0.28l\end{array}\right)\)

\(\left(\begin{array}{c}0.30+0.40l,\\ -0.35-0.39l\end{array}\right)\)

\(\left(\begin{array}{c}0.20+0.40l,\\ -0.45-0.48l\end{array}\right)\)

\({\boldsymbol{\Pi }}_{3}\)

\(\left(\begin{array}{c}0.38+0.42l,\\ -0.28-0.32l\end{array}\right)\)

\(\left(\begin{array}{c}0.30+0.40l,\\ -0.35-0.39l\end{array}\right)\)

\(\left(\begin{array}{c}0.20+0.40l,\\ -0.45-0.48l\end{array}\right)\)

\({\boldsymbol{\Pi }}_{4}\)

\(\left(\begin{array}{c}0.50+0.50l,\\ -0.50-0.50l\end{array}\right)\)

\(\left(\begin{array}{c}0.38+0.42l,\\ -0.28-0.32l\end{array}\right)\)

\(\left(\begin{array}{c}0.48+0.52l,\\ -0.18-0.28l\end{array}\right)\)

\({\boldsymbol{\Pi }}_{5}\)

\(\left(\begin{array}{c}0.20+0.40l,\\ -0.45-0.48l\end{array}\right)\)

\(\left(\begin{array}{c}0.50+0.50l,\\ -0.50-0.50l\end{array}\right)\)

\(\left(\begin{array}{c}0.38+0.42l,\\ -0.28-0.32l\end{array}\right)\)

\({\boldsymbol{\Pi }}_{6}\)

\(\left(\begin{array}{c}0.48+0.52l,\\ -0.18-0.28l\end{array}\right)\)

\(\left(\begin{array}{c}0.38+0.42l,\\ -0.28-0.32l\end{array}\right)\)

\(\left(\begin{array}{c}0.50+0.50l,\\ -0.50-0.50l\end{array}\right)\)