A Multiple Attribute Group Decision Making Approach for Solving Problems with the Assessment of Preference Relations

Table 1

Aggregation of heterogeneous group of experts for Attribute 1.

Expert 1	(0.125, 0.225, 0.325, 0.425)	(0.125, 0.225, 0.325, 0.425)	(0.350, 0.450, 0.550, 0.650)
Expert 2	(0.200, 0.300, 0.400, 0.500)	(0.350, 0.450, 0.550, 0.650)	(0.350, 0.450, 0.550, 0.650)
Expert 3	(0.250, 0.250, 0.250, 0.250)	(0.185, 0.185, 0.185, 0.185)	(0.500, 0.500, 0.500, 0.500)
Degree of agreement ()
	0.925	0.775	1.000
	0.900	0.880	0.900
	0.875	0.685	0.900
Average degree of agreement of expert ()
	0.913	0.828	0.950
	0.900	0.730	0.950
	0.888	0.783	0.900
Relative degree of agreement of expert ()
	0.338	0.354	0.339
	0.333	0.312	0.339
	0.329	0.334	0.321
Consensus degree coefficient of expert () for
	0.319	0.327	0.320
	0.317	0.306	0.320
	0.364	0.367	0.361
Aggregated results	= (0.19, 0.26, 0.32, 0.38)	= (0.22, 0.28, 0.34, 0.41)	= (0.40, 0.47, 0.53, 0.60)
Converted results	= 0.290	= 0.311	= 0.500