Table 1 The decision matrix contains the picture fuzzy information.

From: Partitioned dual Maclaurin symmetric mean operators based on picture fuzzy sets and their applications in multi-attribute decision-making problems

 

\({{\varvec{\Xi}}}_{1}\)

\({{\varvec{\Xi}}}_{2}\)

\({{\varvec{\Xi}}}_{3}\)

\({{\varvec{\Xi}}}_{4}\)

\({\mathfrak{T}}_{1}\)

\(\left(\mathrm{0.4,0.2,0.1}\right)\)

\(\left(\mathrm{0.41,0.21,0.11}\right)\)

\(\left(\mathrm{0.42,0.22,0.12}\right)\)

\(\left(\mathrm{0.43,0.23,0.13}\right)\)

\({\mathfrak{T}}_{2}\)

\(\left(\mathrm{0.3,0.3,0.2}\right)\)

\(\left(\mathrm{0.31,0.31,0.21}\right)\)

\(\left(\mathrm{0.32,0.32,0.22}\right)\)

\(\left(\mathrm{0.33,0.33,0.23}\right)\)

\({\mathfrak{T}}_{3}\)

\(\left(\mathrm{0.5,0.1,0.1}\right)\)

\(\left(\mathrm{0.51,0.11,0.11}\right)\)

\(\left(\mathrm{0.52,0.12,0.12}\right)\)

\(\left(\mathrm{0.53,0.13,0.13}\right)\)

\({\mathfrak{T}}_{4}\)

\(\left(\mathrm{0.7,0.01,0.1}\right)\)

\(\left(\mathrm{0.71,0.02,0.11}\right)\)

\(\left(\mathrm{0.72,0.03,0.12}\right)\)

\(\left(\mathrm{0.73,0.04,0.13}\right)\)

\({\mathfrak{T}}_{5}\)

\(\left(\mathrm{0.4,0.3,0.1}\right)\)

\(\left(\mathrm{0.41,0.31,0.11}\right)\)

\(\left(\mathrm{0.42,0.32,0.12}\right)\)

\(\left(\mathrm{0.43,0.33,0.13}\right)\)