Partner Selection in a Virtual Enterprise: A Group Multiattribute Decision Model with Weighted Possibilistic Mean Values

Table 7

Aggregated separation measure, closeness coefficient, and ranking ofcandidates.

Case	Decision maker	𝑡^𝜅	Candidate	Aggregated positive separation measure	Aggregated negative separation measure	𝜇𝑖	Ranking
Case no. 1	DM#1	𝑡^1=0.0	𝐶1	𝐷^+1=0.0367	𝐷^−1=0.0387	0.5132	1
	DM#2	𝑡^2=0.0	𝐶2	𝐷^+2=0.0315	𝐷^−2=0.0282	0.4728	3
	DM#3	𝑡^3=0.0	𝐶3	𝐷^+3=0.0377	𝐷^−3=0.0251	0.3995	4
	DM#4	𝑡^4=0.0	𝐶4	𝐷^+4=0.0368	𝐷^−4=0.0387	0.5128	2
Case no. 2	DM#1	𝑡^1=0.3	𝐶1	𝐷^+1=0.0377	𝐷^−1=0.0418	0.5260	1
	DM#2	𝑡^2=0.3	𝐶2	𝐷^+2=0.0327	𝐷^−2=0.0299	0.4774	3
	DM#3	𝑡^3=0.3	𝐶3	𝐷^+3=0.0406	𝐷^−3=0.0247	0.3783	4
	DM#4	𝑡^4=0.3	𝐶4	𝐷^+4=0.0399	𝐷^−4=0.0391	0.4949	2
Case no. 3	DM#1	𝑡^1=0.5	𝐶1	𝐷^+1=0.0384	𝐷^−1=0.0441	0.5348	1
	DM#2	𝑡^2=0.5	𝐶2	𝐷^+2=0.0336	𝐷^−2=0.0312	0.4816	3
	DM#3	𝑡^3=0.5	𝐶3	𝐷^+3=0.0426	𝐷^−3=0.0250	0.3693	4
	DM#4	𝑡^4=0.5	𝐶4	𝐷^+4=0.0419	𝐷^−4=0.0400	0.4887	2
Case no. 4	DM#1	𝑡^1=0.0	𝐶1	𝐷^+1=0.0381	𝐷^−1=0.0414	0.5210	1
	DM#2	𝑡^2=0.3	𝐶2	𝐷^+2=0.0326	𝐷^−2=0.0293	0.4735	3
	DM#3	𝑡^3=0.5	𝐶3	𝐷^+3=0.0392	𝐷^−3=0.0244	0.3745	4
	DM#4	𝑡^4=0.7	𝐶4	𝐷^+4=0.0195	𝐷^−4=0.0393	0.5007	2
Case no. 5	DM#1	𝑡^1=0.3	𝐶1	𝐷^+1=0.0388	𝐷^−1=0.0442	0.5326	1
	DM#2	𝑡^2=0.5	𝐶2	𝐷^+2=0.0336	𝐷^−2=0.0312	0.4815	3
	DM#3	𝑡^3=0.7	𝐶3	𝐷^+3=0.0433	𝐷^−3=0.0248	0.3641	4
	DM#4	𝑡^4=1.0	𝐶4	𝐷^+4=0.0417	𝐷^−4=0.0405	0.4929	2
Case no. 6	DM#1	𝑡^1=0.7	𝐶1	𝐷^+1=0.0390	𝐷^−1=0.0463	0.5427	1
	DM#2	𝑡^2=0.7	𝐶2	𝐷^+2=0.0345	𝐷^−2=0.0325	0.4850	2
	DM#3	𝑡^3=0.7	𝐶3	𝐷^+3=0.0446	𝐷^−3=0.0252	0.3609	4
	DM#4	𝑡^4=0.7	𝐶4	𝐷^+4=0.0438	𝐷^−4=0.0410	0.4834	3
Case no. 7	DM#1	𝑡^1=1.0	𝐶1	𝐷^+1=0.0401	𝐷^−1=0.0496	0.5529	1
	DM#2	𝑡^2=1.0	𝐶2	𝐷^+2=0.0359	𝐷^−2=0.0344	0.4895	2
	DM#3	𝑡^3=1.0	𝐶3	𝐷^+3=0.0476	𝐷^−3=0.0256	0.3492	4
	DM#4	𝑡^4=1.0	𝐶4	𝐷^+4=0.0467	𝐷^−4=0.0425	0.4767	3