Threat assessment method with uncertain attribute weight based on intuitionistic fuzzy multi-attribute decision

被引:0
作者
Wang, Yi [1 ]
Liu, San-Yang [1 ]
Zhang, Wen [2 ]
Wang, Ya-Nan [2 ]
机构
[1] School of Mathematics and Statistics, Xidian University, Xi'an, 710071, Shaanxi
[2] Air Force Engineering University Air Defense and Anti-missile Institute, Xi'an, 710051, Shaanxi
来源
Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2014年 / 42卷 / 12期
关键词
Interval judgment matrix; Intuitionistic fuzzy sets; Multiple-attribute decision; Threat assessment;
D O I
10.3969/j.issn.0372-2112.2014.12.025
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Under the framework of IFS(Intuitionistic Fuzzy Sets), aiming at the situation that targets' attributes are interval value, the weights are totally unknown, and decision-makers have preference information, a threat assessment method with uncertain attribute weight based on intuitionistic fuzzy multi-attribute decision is proposed. Firstly, based on the above-mentioned problem, intuitionistic fuzzy interval judgment matrix is set up, and a standard interval value index processing method is put forward; secondly, by analyzing the target attribute, attribute weight, and decision-makers' authority degree in project, the preference project model in group decision making is finally constructed; thirdly, according to the attribute's variety character in interval value, the definition of intuitionistic fuzzy interval value's similarity and ideal resolve is given, and the optimization attribute weight restriction model is built up; lastly, some typical threat assessment examples are cited to verify that the method can reflect the influence of both subjective and objective information, which can avoid the deviation caused by sensor invalidation, outside environment's effect, or decision-makers' subjective experience. Finally, the superiority of the method is proved by the threat assessment of some typical targets. ©, 2014, Chinese Institute of Electronics. All right reserved.
引用
收藏
页码:2509 / 2514
页数:5
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