共识驱动的区间直觉模糊型多准则群体决策信息融合模型

doi:10.3969/j.issn.1001-506X.2020.07.18

Abstract

Abstract:

The reliability of interval-valued intuitionistic fuzzy multi-criteria group decision making aggregation results is the basis for realizing group consensus, which not only reflects the effectiveness of the group aggregation results but also affects the adjustment behavior of individual opinions.Firstly, based on the analysis of the existing eight aggregation operators, the group consensus model is designed with the individual average consistency as the order inducing variable. Secondly, in order to improve the reliability of the group aggregation results, the adjustment threshold is designed by statistical test methods based on the group average consistency of each alternative under each criterion, and the model is optimized to adjust the group aggregation results with the optimal similarity as the constraint. Finally, the applicability of the method is illustrated by an example. The comparative analysis shows the superiority of the method in the realization of group consensus.

Key words: group decision making, interval-valued intuitionistic fuzzy set (IVIFS), group consensus, similarity

CLC Number:

C394

Xiaofang ZHONG, Hongjuan LAN, Wenqi JIANG. Consensus driven information fusion model of interval-valued intuitionistic fuzzy multi-criteria group decision making[J]. Systems Engineering and Electronics, 2020, 42(7): 1558-1566.

Figures/Tables 5

Table 1

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Table 5

References 33

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方案	评价属性
方案	c₁	c₂	c₃
a₁	0.715	0.686	0.720
a₂	0.716	0.855	0.846
a₃	0.607	0.747	0.590
a₄	0.531	0.542	0.732

方案	评价属性
方案	c₁	c₂	c₃
a₁	0.765	0.528	0.745
a₂	0.759	0.862	0.846
a₃	0.765	0.710	0.747
a₄	0.694	0.616	0.535

方案	评价属性
方案	c₁	c₂	c₃
a₁	0.778	0.656	0.745
a₂	0.716	0.780	0.845
a₃	0.542	0.661	0.804
a₄	0.651	0.567	0.764

方案	评价属性
方案	c₁	c₂	c₃
a₁	0.809	0.687	0.620
a₂	0.759	0.815	0.671
a₃	0.759	0.573	0.792
a₄	0.495	0.640	0.754

算术/几何平均	方案	评价属性
算术/几何平均	方案	c₁	c₂	c₃
IIFWA/IIFWG	a₁	0.843/0.857	0.769/0.766	0.811/0.797
	a₂	0.825/0.824	0.893/0.895	0.845/0.871
	a₃	0.784/0.820	0.805/0.785	0.841/0.801
	a₄	0.734/0.747	0.718/0.731	0.799/0.822
IIFOWA/IIFOWG	a₁	0.836/0.852	0.768/0.769	0.814/0.813
	a₂	0.821/0.825	0.888/0.894	0.820/0.851
	a₃	0.771/0.818	0.792/0.809	0.844/0.848
	a₄	0.701/0.753	0.703/0.725	0.747/0.797
IIFHA/IIFHG	a₁	0.810/0.847	0.769/0.769	0.813/0.813
	a₂	0.824/0.824	0.868/0.892	0.803/0.836
	a₃	0.737/0.806	0.804/0.807	0.851/0.845
	a₄	0.693/0.745	0.693/0.723	0.765/0.790
I-IIFOWA/I-IIFOWG	a₁	0.838/0.856	0.769/0.764	0.810/0.795
	a₂	0.824/0.823	0.892/0.896	0.847/0.872
	a₃	0.772/0.819	0.803/0.784	0.836/0.791
	a₄	0.736/0.738	0.716/0.731	0.799/0.822
IIFIOWA/IIFIOWG	a₁	0.858/0.857	0.770/0.769	0.813/0.811
	a₂	0.825/0.826	0.896/0.897	0.873/0.872
	a₃	0.804/0.820	0.808/0.806	0.852/0.848
	a₄	0.771/0.760	0.735/0.733	0.817/0.824

Consensus driven information fusion model of interval-valued intuitionistic fuzzy multi-criteria group decision making

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