高级搜索

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

基于改进模糊置信规则的意图识别方法

王海滨 关欣 衣晓 李双明

王海滨, 关欣, 衣晓, 李双明. 基于改进模糊置信规则的意图识别方法[J]. 电子与信息学报, 2023, 45(3): 941-948. doi: 10.11999/JEIT211405
引用本文: 王海滨, 关欣, 衣晓, 李双明. 基于改进模糊置信规则的意图识别方法[J]. 电子与信息学报, 2023, 45(3): 941-948. doi: 10.11999/JEIT211405
WANG Haibin, GUAN Xin, YI Xiao, LI Shuangming. An Intention Recognition Method Based on Fuzzy Belief-Rule-Base[J]. Journal of Electronics & Information Technology, 2023, 45(3): 941-948. doi: 10.11999/JEIT211405
Citation: WANG Haibin, GUAN Xin, YI Xiao, LI Shuangming. An Intention Recognition Method Based on Fuzzy Belief-Rule-Base[J]. Journal of Electronics & Information Technology, 2023, 45(3): 941-948. doi: 10.11999/JEIT211405

基于改进模糊置信规则的意图识别方法

doi: 10.11999/JEIT211405
基金项目: 国防科技卓越青年人才基金(2017-JCJQ-ZQ-003),泰山学者工程专项经费(ts201712072)
详细信息
    作者简介:

    王海滨:男,副教授,博士生,研究方向为态势认知与智能信息处理

    关欣:女,教授,博士,研究方向为信息融合

    衣晓:男,教授,博士,研究方向为信息融合

    李双明:男,博士生,研究方向为目标识别技术

    通讯作者:

    王海滨 hesonwhb@163.com

  • 中图分类号: TP182;TP391

An Intention Recognition Method Based on Fuzzy Belief-Rule-Base

Funds: The National Defense Science and Technology Excellence Youth Talent Fund (2017-JCJQ-ZQ-003), The Taishan Scholar Engineering Special Fund (ts 201712072)
  • 摘要: 针对传统意图识别方法只能处理某种类型不确定性信息的不足,该文结合模糊集和DS证据理论优势提出一种模糊置信规则库(BRB)信息处理方法。首先在置信规则前提部分改进了前提属性的连接关系,根据数据集统计分布特点设计了模糊集分割,选取Cauchy型分布作为隶属度函数,较好地避免置信规则无法被有效激活进而导致系统无有效输出问题;其次融合处理辨识框架内不同类别的置信分布,建立规则权重和特征权重优化模型,构建了特征空间与类别空间之间的输入输出关系;在此基础上,计算未知意图数据在相应规则模糊域的匹配度和激活度,采用置信度最大原则进行识别决策。通过实验验证、参数敏感性及结果分析、时间复杂度分析,表明该文方法可以获得比其他识别方法更高的正确率,尤其是在小样本条件下更能体现出该方法的有效性和可靠性。
  • 图  1  改进模糊置信规则意图识别算法流程图

    图  2  基于Cauchy分布隶属度函数的模糊区域划分

    图  3  频数检测门限与分离度检测门限对识别结果的影响

    表  1  目标各属性边界数据

    目标方位角(°)距离(km)水平速度(m/s)航向角(°)雷达反射截面积(m2)意图
    148.62812502023.0Recon
    2241.2120280521.7Cover
    3240.0110300502.1Cover
    4174.02902723505.2Attack
    5168.02602152606.8Recon
    6139.52153203242.8Attack
    71382103003101.2Attack
    下载: 导出CSV

    表  2  属性模糊划分的数据分割点

    序号属性1分割点属性2分割点属性3分割点属性4分割点属性5分割点
    10.00390.07400.22240.01100.0634
    20.00620.10980.26680.11320.1248
    30.02410.80340.38570.50550.1683
    40.55180.93210.50460.72350.1995
    50.99500.63830.96610.2616
    60.75940.3217
    70.93590.8718
    统计54757
    下载: 导出CSV

    表  3  各类算法的识别正确率对比(%)

    SVMBAGC4.5EBRBBRB-ER本文
    57878993.5100
    下载: 导出CSV

    表  4  算法在训练阶段与测试阶段运行时间对比

    模糊域划分数量模糊置信规则数量训练运行时间(s)测试运行时间(s)识别正确率(%)
    [4,3,4,5,4]110.02512.6E-3100
    [4,2,4,4,4]100.02005.4E-4100
    [3,2,2,3,3]70.01633.9E-490
    [1,2,2,2,2]40.01443.5E-475
    下载: 导出CSV
  • [1] 王闯, 李松, 姜浩博, 等. 防空反导智能战场态势估计研究[J]. 火力与指挥控制, 2020, 45(3): 7–13,21. doi: 10.3969/j.issn.1002-0640.2020.03

    WANG Chuang, LI Song, JIANG Haobo, et al. Research on intelligent battlefield situation assessment of air defense and anti-missile[J]. Fire Control &Command Control, 2020, 45(3): 7–13,21. doi: 10.3969/j.issn.1002-0640.2020.03
    [2] 王海旺, 史红权, 赵晓哲. 目标意图识别方法综述[C]. 2020中国系统仿真与虚拟现实技术高层论坛论文集, 北京, 2020: 186–188.

    WANG Haiwang, SHI Hongquan, and ZHAO Xiaozhe. A summary of target intention identification methods[C]. 2020 China System Simulation and Virtual Reality Technology High-level Forum, Beijing, China, 2020: 186–188.
    [3] 高杨, 李东生, 程泽新. 无人机分布式集群态势感知模型研究[J]. 电子与信息学报, 2018, 40(6): 1271–1278. doi: 10.11999/JEIT170877

    GAO Yang, LI Dongsheng, and CHENG Zexin. UAV Distributed swarm situation awareness model[J]. Journal of Electronics &Information Technology, 2018, 40(6): 1271–1278. doi: 10.11999/JEIT170877
    [4] ZHOU Tongle, CHEN Mou, WANG Yuhui, et al. Information entropy-based intention prediction of aerial targets under uncertain and incomplete information[J]. Entropy, 2020, 22(3): 279. doi: 10.3390/e22030279
    [5] 李伟生, 王三民, 王宝树. 基于计划识别的态势估计方法研究[J]. 电子与信息学报, 2006, 28(3): 532–536.

    LI Weisheng, WANG Sanmin, and WANG Baoshu. Study of situation assessment method based on plan recognition theory[J]. Journal of Electronics &Information Technology, 2006, 28(3): 532–536.
    [6] JIAO Lianmeng, PAN Quan, DENŒUX T, et al. Belief rule-based classification system: Extension of FRBCS in belief functions framework[J]. Information Sciences, 2015, 309: 26–49. doi: 10.1016/j.ins.2015.03.005
    [7] CHI Zheru, YAN Hong, and PHAM T. Fuzzy Algorithms with Applications to Image Processing and Pattern Recognition[M]. Singapore: World Scientific Publishing Co, 1996.
    [8] YANG Jianbo, LIU Jun, WANG Jin, et al. Belief rule-based inference methodology using the evidential reasoning approach–RIMER[J]. IEEE Transactions on Systems, Man, and Cybernetics-Part A:Systems and Humans, 2006, 36(2): 266–285. doi: 10.1109/TSMCA.2005.851270
    [9] 赵福均, 周志杰, 胡昌华, 等. 基于置信规则库和证据推理的空中目标意图识别方法[J]. 电光与控制, 2017, 24(8): 15–19,50. doi: 10.3969/j.issn.1671-637X.2017.08.004

    ZHAO Fujun, ZHOU Zhijie, HU Changhua, et al. Aerial target intention recognition approach based on belief-rule-base and evidential reasoning[J]. Electronics Optics &Control, 2017, 24(8): 15–19,50. doi: 10.3969/j.issn.1671-637X.2017.08.004
    [10] CHANG Leilei, ZHOU Zhijie, YOU Yuan, et al. Belief rule based expert system for classification problems with new rule activation and weight calculation procedures[J]. Information Sciences, 2016, 336: 75–91. doi: 10.1016/j.ins.2015.12.009
    [11] ZHOU Zhijie, HU Guanyu, HU Changhua, et al. A survey of belief rule-base expert system[J]. IEEE Transactions on Systems, Man, and Cybernetics:Systems, 2019, 51(8): 4944–4958. doi: 10.1109/TSMC.2019.2944893
    [12] UTKIN L V. An imprecise extension of SVM-based machine learning models[J]. Neurocomputing, 2019, 331: 18–32. doi: 10.1016/j.neucom.2018.11.053
    [13] XUE Junjie, ZHU Jie, XIAO Jiyang, et al. Panoramic convolutional long short-term memory networks for combat intension recognition of aerial targets[J]. IEEE Access, 2020, 8: 183312–183323. doi: 10.1109/ACCESS.2020.3025926
    [14] ACI M and AVCI M. K nearest neighbor reinforced expectation maximization method[J]. Expert Systems with Applications, 2011, 38(10): 12585–12591. doi: 10.1016/j.eswa.2011.04.046
    [15] 张肃, 程启月, 解瑶, 等. 不确定空情信息条件下的意图识别方法[J]. 空军工程大学学报(自然科学版), 2008, 9(3): 50–53. doi: 10.3969/j.issn.1009-3516.2008.03.012

    ZHANG Su, CHENG Qiyue, XIE Yao, et al. A method of inference intention with uncertain aerial information[J]. Journal of Air Force Engineering University (Natural Science Edition), 2008, 9(3): 50–53. doi: 10.3969/j.issn.1009-3516.2008.03.012
    [16] AFSHAR S, MOSLEH M, and KHEYRANDISH M. Presenting a new multiclass classifier based on learning automata[J]. Neurocomputing, 2013, 104: 97–104. doi: 10.1016/j.neucom.2012.10.005
    [17] ZHUANG Jinhui, YE Jifeng, CHEN Nannan, et al. Extended belief rule-base optimization base on clustering tree and parameter optimization[J]. IEEE Access, 2021, 9: 12533–12544. doi: 10.1109/ACCESS.2021.3051001
    [18] DEL AMO A, MONTERO J, FERNANDEZ A, et al. Spectral fuzzy classification: an application[J]. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 2002, 32(1): 42–48. doi: 10.1109/TSMCC.2002.1009135
  • 加载中
图(3) / 表(4)
计量
  • 文章访问数:  508
  • HTML全文浏览量:  329
  • PDF下载量:  118
  • 被引次数: 0
出版历程
  • 收稿日期:  2021-12-01
  • 修回日期:  2022-04-18
  • 网络出版日期:  2022-04-25
  • 刊出日期:  2023-03-10

目录

    /

    返回文章
    返回