基于犹豫模糊集的不等长序列识别方法及应用

李双明; 关欣; 孙贵东

doi:10.11959/j.issn.1000-436x.2021118

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基于犹豫模糊集的不等长序列识别方法及应用

学术论文 | 更新时间：2024-06-05

- 基于犹豫模糊集的不等长序列识别方法及应用
- Recognition method based on hesitant fuzzy set for unequal length sequences and its application
- 通信学报 2021年42卷第7期页码：41-51
- 作者机构：
  
  1. 海军航空大学，山东烟台 264001
  2. 92941部队，辽宁葫芦岛 125001
  3. 32801部队，北京 100082
- 作者简介：
  
  [ "李双明（1986− ），男，山东梁山人，海军航空大学博士生，主要研究方向为智能识别、不确定信息处理" ]
  [ "关欣（1978− ），女，辽宁锦州人，博士，海军航空大学教授、博士生导师，主要研究方向为智能信息处理、多源信息融合" ]
  [ "孙贵东（1989− ），男，山东荣成人，32801部队助理研究员，主要研究方向为复杂电磁环境、信息融合与智能决策" ]
- 基金信息：
  
  国防科技卓越青年科学基金资助项目(2017-JCJQ-ZQ-003);国家自然科学基金青年科学基金资助项目(62001503);泰山学者工程专项经费资助项目(ts201712072)
- DOI：10.11959/j.issn.1000-436x.2021118
  中图分类号： TP391
- 网络出版日期：2021-07，
  
  纸质出版日期：2021-07-25
- 稿件说明：
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李双明, 关欣, 孙贵东. 基于犹豫模糊集的不等长序列识别方法及应用[J]. 通信学报, 2021,42(7):41-51.

Shuangming LI, Xin GUAN, Guidong SUN. Recognition method based on hesitant fuzzy set for unequal length sequences and its application[J]. Journal on communications, 2021, 42(7): 41-51.
李双明, 关欣, 孙贵东. 基于犹豫模糊集的不等长序列识别方法及应用[J]. 通信学报, 2021,42(7):41-51. DOI： 10.11959/j.issn.1000-436x.2021118.

Shuangming LI, Xin GUAN, Guidong SUN. Recognition method based on hesitant fuzzy set for unequal length sequences and its application[J]. Journal on communications, 2021, 42(7): 41-51. DOI： 10.11959/j.issn.1000-436x.2021118.

摘要

针对不等长序列难以识别的问题，提出了一种基于犹豫模糊距离测度的识别方法。首先，从模糊数的角度对问题加以描述，用格贴近度建立了不等长序列的犹豫模糊信息识别模型。其次，定义了犹豫模糊数的均值、方差、相对范围、犹豫度4个特征，结合较短部分的隶属度差值，定义了犹豫模糊广义集成特征距离测度和广义加权集成特征距离测度，其满足度量空间的相关性质，并给出了严格的数学证明过程。最后，提出了用于确定权重信息的熵测度法和支撑度法，给出了基于犹豫距离测度的 VIKOR 识别方法。从数值算例、能源策略选择和目标识别3个方面进行了仿真验证，结果验证了所提方法的有效性和可行性。

Abstract

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.

关键词

Keywords

references

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