Research Article

Intuitionistic Fuzzy Factorial Analysis Model for Supplier Selection of Urban Rail Transit Companies within a Random Environment

Table 6

Random intuitionistic fuzzy decision matrix.

A1A2A3A4A5Sample mean

C1(0.23331+Y2, 0.16671+Y2)(0.41+Y2, 0.26671+Y2)(0.66671+Y2, 0.51+Y2)(0.43331+Y2, 0.31+Y2)(0.26671+Y2, 0.21+Y2)(0.37271+Y2, 0.26611+Y2)
C2(0.26671+Y2, 0.13331+Y2)(0.56671+Y2, 0.46671+Y2)(0.51+Y2, 0.36671+Y2)(0.41+Y2, 0.31+Y2)(0.31+Y2, 0.13331+Y2)(0.39041+Y2, 0.24661+Y2)
C3(0.26671+Y2, 0.16671+Y2)(0.46671+Y2, 0.31+Y2)(0.43331+Y2, 0.33331+Y2)(0.33331+Y2, 0.16671+Y2)(0.23331+Y2, 0.21+Y2)(0.33461+Y2, 0.22331+Y2)
C4(0.26671+Y2, 0.13331+Y2)(0.46671+Y2, 0.31+Y2)(0.46671+Y2, 0.26671+Y2)(0.36671+Y2, 0.23331+Y2)(0.26671+Y2, 0.21+Y2)(0.35551+Y2, 0.21851+Y2)
C5(0.36671+Y2, 0.26671+Y2)(0.51+Y2, 0.26671+Y2)(0.56671+Y2, 0.41+Y2)(0.43331+Y2, 0.23331+Y2)(0.23331+Y2, 0.11+Y2)(0.40201+Y2, 0.23141+Y2)
C6(0.26671+Y2, 0.13331+Y2)(0.43331+Y2, 0.26671+Y2)(0.41+Y2, 0.23331+Y2)(0.63331+Y2, 0.53331+Y2)(0.23331+Y2, 0.16671+Y2)(0.36891+Y2, 0.23631+Y2)
C7(0.83331−Y1, 0.76671−Y1)(0.53331−Y1, 0.41−Y1)(0.66671−Y1, 0.51−Y1)(0.81−Y1, 0.66671−Y1)(0.83331−Y1, 0.71−Y1)(0.72301+Y2, 0.59011+Y2)
C8(0.81−Y1, 0.71−Y1)(0.51−Y1, 0.36671−Y1)(0.63331−Y1, 0.46671−Y1)(0.73331−Y1, 0.61−Y1)(0.91−Y1, 0.76671−Y1)(0.69931+Y2, 0.56011+Y2)
C9(0.81−Y1, 0.73331−Y1)(0.71−Y1, 0.56671−Y1)(0.56671−Y1, 0.43331−Y1)(0.66671−Y1, 0.51−Y1)(0.86671−Y1, 0.73331−Y1)(0.71231+Y2, 0.58071+Y2)