Research Article

Supply Chain Management (SCM) Breakdowns and SCM Strategy Selection during the COVID-19 Pandemic Using the Novel Rough MCDM Model

Table 6

Rough normalized matrix.

StrategiesFactors
ESWBDLLRICFSMSSBASCFLRRPWTFMTCLRMP

Anti-ideal(0.497, 0.734)(0.427, 0.560)(0.497, 0.843)(0.435, 0.691)(0.388, 0.658)(0.542, 0.874)(0.451, 0.863)(0.580, 0.884)(0.420, 0.776)
LSCMS(0.505, 0.734)(0.608, 0.957)(0.640, 0.918)(0.526, 0.948)(0.399, 0.973)(0.542, 0.874)(0.451, 0.863)(0.665, 0.962)(0.564, 0.956)
ASCMS(0.566, 0.807)(0.638, 0.802)(0.499, 0.870)(0.442, 0.691)(0.416, 0.784)(0.707, 0.989)(0.610, 0.951)(0.734, 0.946)(0.420, 0.776)
CSCMS(0.554, 0.998)(0.714, 1.000)(0.610, 1.000)(0.479, 0.718)(0.388, 0.687)(0.582, 0.905)(0.630, 1.000)(0.632, 0.884)(0.666, 1.000)
VIS(0.497, 1.000)(0.556, 0.714)(0.497, 0.843)(0.518, 1.000)(0.394, 0.658)(0.592, 0.969)(0.667, 0.963)(0.580, 0.917)(0.557, 0.883)
LSCOAS(0.637, 0.923)(0.427, 0.560)(0.669, 0.940)(0.435, 0.727)(0.459, 1.000)(0.602, 1.000)(0.494, 0.899)(0.798, 1.000)(0.540, 0.879)
Ideal(0.637, 1.000)(0.714, 1.000)(0.669, 1.000)(0.526, 1.000)(0.459, 1.000)(0.707, 1.000)(0.667, 1.000)(0.798, 1.000)(0.666, 1.000)