Skip to main content
SpringerPlus
SpringerPlus Cover Image

Table 9 Normalized fuzzy decision matrix (r ij )

From: Multi-criteria decision support framework for sustainable implementation of effective green supply chain management practices

  OC1 OC2 OC3 EC1 EC2 EC3 EC4 EnC1 EnC2 EnC3
P 1 (0.176,
0.588,
1.000) 		(0.150,
0.500,
0.850) 		(0.176,
0.588,
1.000) 		(0.350,
0.633,
1.000) 		(0.176,
0.431,
0.765) 		(0.350,
0.567,
0.850) 		(0.150,
0.367,
0.650) 		(0.412,
0.745,
1.000) 		(0.176,
0.510,
0.765) 		(0.176,
0.667,
1.000)
P 2 (0.412,
0.588,
0.765) 		(0.350,
0.633,
1.000) 		(0.412,
0.667,
1.000) 		(0.150,
0.433,
0.650) 		(0.176,
0.588,
1.000) 		(0.150,
0.633,
1.000) 		(0.350,
0.633,
1.000) 		(0.176,
0.588,
1.000) 		(0.412,
0.667,
1.000) 		(0.412,
0.667,
1.000)
P 3 (0.000,
0.431,
1.000) 		(0.150,
0.500,
0.850) 		(0.176,
0.510,
1.000) 		(0.550,
0.700,
0.850) 		(0.176,
0.353,
0.529) 		(0.000,
0.300,
0.650) 		(0.150,
0.500,
0.850) 		(0.000,
0.431,
1.000) 		(0.176,
0.667,
1.000) 		(0.000,
0.588,
1.000)
P 4 (0.000,
0.431,
0.765) 		(0.150,
0.433,
0.650) 		(0.412,
0.745,
1.000) 		(0.150,
0.500,
0.850) 		(0.412,
0.745,
1.000) 		(0.350,
0.633,
0.850) 		(0.150,
0.367,
0.650) 		(0.412,
0.745,
1.000) 		(0.000,
0.431,
0.765) 		(0.000,
0.431,
1.000)
P 5 (0.412,
0.745,
1.000) 		(0.000,
0.233,
0.450) 		(0.000,
0.510,
1.000) 		(0.150,
0.433,
0.850) 		(0.176,
0.588,
1.000) 		(0.150,
0.433,
0.650) 		(0.000,
0.367,
0.850) 		(0.000,
0.353,
0.765) 		(0.176,
0.510,
1.000) 		(0.176,
0.588,
1.000)
P 6 (0.412,
0.745,
1.000) 		(0.150,
0.567,
1.000) 		(0.176,
0.431,
0.765) 		(0.150,
0.500,
0.850) 		(0.412,
0.667,
1.000) 		(0.550,
0.767,
1.000) 		(0.350,
0.633,
1.000) 		(0.176,
0.667,
1.000) 		(0.412,
0.745,
1.000) 		(0.412,
0.667,
1.000)
P 7 (0.176,
0.588,
1.000) 		(0.000,
0.500,
0.850) 		(0.176,
0.510,
0.765) 		(0.150,
0.633,
1.000) 		(0.176,
0.510,
1.000) 		(0.150,
0.567,
0.850) 		(0.000,
0.567,
1.000) 		(0.412,
0.745,
1.000) 		(0.176,
0.588,
1.000) 		(0.176,
0.667,
1.000)
P 8 (0.176,
0.667,
1.000) 		(0.150,
0.433,
0.650) 		(0.000,
0.431,
1.000) 		(0.150,
0.433,
0.650) 		(0.176,
0.588,
1.000) 		(0.150,
0.500,
0.850) 		(0.150,
0.367,
0.650) 		(0.000,
0.431,
1.000) 		(0.176,
0.510,
1.000) 		(0.176,
0.667,
1.000)
P 9 (0.000,
0.431,
1.000) 		(0.350,
0.567,
0.850) 		(0.176,
0.667,
1.000) 		(0.150,
0.633,
1.000) 		(0.176,
0.431,
0.765) 		(0.000,
0.300,
0.650) 		(0.350,
0.633,
1.000) 		(0.000,
0.588,
1.000) 		(0.176,
0.667,
1.000) 		(0.000,
0.431,
1.000)
P 10 (0.176,
0.431,
0.765) 		(0.000,
0.233,
0.450) 		(0.176,
0.588,
1.000) 		(0.150,
0.500,
0.850) 		(0.176,
0.588,
1.000) 		(0.150,
0.567,
0.850) 		(0.000,
0.300,
0.650) 		(0.176,
0.510,
1.000) 		(0.176,
0.510,
1.000) 		(0.176,
0.588,
1.000)
Back to article page