基于属性偏好的直觉模糊MAIRCA决策方法
Intuitionistic Fuzzy MAIRCA Decision-Making Method Based on Attribute Preference
朱模忠 1徐雪晴 1谢加良 1李凤1
作者信息
- 1. 集美大学理学院,福建 厦门 361021;集美大学数字福建大数据建模与智能计算研究所,福建 厦门 361021
- 折叠
摘要
针对不确定信息环境下的应急决策问题,提出一种基于属性偏好的多属性理想现实比较分析法(MAIRCA).首先,给出MAIRCA框架的一个新的直觉模糊扩展,并定义一种新的专家综合权重和属性偏好权重的计算方法;其次,考虑决策者对各决策属性的偏好信息,构建基于属性偏好的直觉模糊MAIRCA决策方法;再次,通过网络安全的应急决策算例,与现有的多属性决策方法(IF-AHP、IF-MARCOS、IF-TOPSIS、IF-BWM、IF-MAIRCA、IF-VIKOR)进行对比实验,实验结果验证了本文方法的合理性和有效性.最后,通过敏感性分析,动态调整属性权重,对备选方案进行重新排名,所得结果趋于一致性,说明该方法具有较强的鲁棒性.
Abstract
To tackle the problem of emergency decision making in uncertain information environment,a multi-attribute ideal reality com-parison analysis(MAIRCA)based on attribute preferences is proposed.Firstly,we present an extended MAIRCA method using intu-itionistic fuzzy sets,and define a new calculation method for expert comprehensive weight and attribute preference weight;Secondly,considering the decision-maker's preference information for each decision attribute,we establish an intuitionistic fuzzy MAIRCA decision-making method based on attribute preferences;Then,the proposed method compares with IF-AHP,IF-MARCOS,IF-TOP-SIS,IF-BWM,IF-MAIRCA and IF-VIKOR by an example of emergency decision making for network security;Lastly,the alternatives are re-ranked with dynamically-adjusted attribute weights for sensitivity analysis,and the results obtained tend to be consistent,indica-ting that the proposed method has strong robustness.
关键词
应急决策/直觉模糊/多属性理想现实比较分析法/属性偏好Key words
emergency decision making/intuitionistic fuzzy/MAIRCA method/attribute preference引用本文复制引用
出版年
2024
NETL
NSTL
万方数据