A multi-attribute large group emergency decision making method based on group preference consistency of generalized interval-valued trapezoidal fuzzy numbers

A multi-attribute large group emergency decision making method based on group preference consistency of generalized interval-valued trapezoidal fuzzy numbers
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基于广义区间值梯形模糊数群体偏好一致性的多属性大群体应急决策方法

DOI:
10.1007/s11518-015-5274-0
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发表时间:
2015-05
影响因子:
1.2
通讯作者:
Yanju ZHOU
Yanju ZHOU
中科院分区:
管理学4区
文献类型:
--
作者:
Xuanhua XU;Chenguang CAI;Xiaohong CHEN;Yanju ZHOU

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针对属性权重未知、专家偏好信息用广义区间值梯形模糊数(GITFN)表示的多属性大群体应急决策问题,提出了一种新的决策方法.首先,GITFN之间的相似度公式。其次,通过模糊聚类方法将专家对不同方案的偏好信息聚类为若干个集合。在聚类过程中,引入群体偏好一致性指标来保证聚类效果,从而得到群体对不同方案的偏好信息。第三,采用TOPSIS法对方案进行排序。最后,通过实例验证了该方法的可行性和有效性.这些方法可以保证群体偏好的一致性程度,从而提高应急响应活动的决策效率。
In this paper, a new decision making approach is proposed for the multi-attribute large group emergency decision-making problem that attribute weights are unknown and expert preference information is expressed by generalized interval-valued trapezoidal fuzzy numbers (GITFNs). Firstly, a degree of similarity formula between GITFNs is presented. Secondly, expert preference information on different alternatives is clustered into several aggregations via the fuzzy clustering method. As the clustering proceeds, an index of group preference consistency is introduced to ensure the clustering effect, and then the group preference information on different alternatives is obtained. Thirdly, the TOPSIS method is used to rank the alternatives. Finally, an example is taken to show the feasibility and effectiveness of this approach. These method can ensure the consistency degree of group preference, thus decision efficiency of emergency response activities can be improved.
DOI: 10.4028/www.scientific.net/amm.204-208.2488
发表时间: 2012-10
期刊: Applied Mechanics and Materials
影响因子: --
作者:
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