Recognition method based on hesitant fuzzy set for unequal length sequences and its application

被引：0
|
作者：
Li S. [1 ,2 ]
Guan X. [1 ]
Sun G. [3 ]
机构：
[1] Naval Aviation University, Yantai
[2] Unit 92941 of PLA, Huludao
[3] Unit 32801 of PLA, Beijing
来源：
Tongxin Xuebao/Journal on Communications | 2021年 / 42卷 / 07期
基金：
中国国家自然科学基金;
关键词：
Distance measure; Hesitant fuzzy set; Recognition for unequal length sequences;
D O I：
10.11959/j.issn.1000-436x.2021118
中图分类号：
学科分类号：
摘要：
Aiming at the problem that unequal length sequences were difficult to recognize, a recognition method based on hesitant fuzzy distance measure was proposed. Firstly, the problem was described from the perspective of fuzzy value, and the hesitant fuzzy information recognition model of unequal length sequence was established by lattice closeness degree. Secondly, the mean value, variance, relative range and hesitancy degree of hesitant fuzzy values were defined. Combined with membership difference of the shorter part, the generalized integrated feature distance measure and the generalized weighted integrated feature distance measure were defined to meet relevant properties of metric space, and the strict mathematical proof process was given. Finally, entropy measure and support measure were proposed to determine the weight, and the VIKOR recognition method based on hesitant distance measure was given. The simulation results verify the effectiveness and feasibility of proposed method from numerical examples, energy strategy selection and target recognition respectively. © 2021, Editorial Board of Journal on Communications. All right reserved.
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页码：41 / 51
页数：10
相关论文
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