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

区间直觉模糊型多准则群体决策集结结果的可靠性是实现群体共识的基础,既体现了群体集结结果的有效性也影响了个体意见的调整行为。首先,分析了现有8种集结算子,以个体平均一致性为诱导变量设计群体意见集结模型。其次,为提高群体集结结果的可靠性,基于各决策方案在各准则下的群体平均一致性,以统计检验为手段设计调整阈值,并以相似度最优为约束设计群体集结结果调整优化模型。最后,通过举例实例说明了该方法的适用性,通过对比分析体现了该方法在实现群体共识方面的优越性。

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

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.