Fuzzy Comprehensive Evaluation of Mixed Reality Seismic Retrofitting Training System

被引:2
|
作者
Liu, Zhansheng [1 ]
Xue, Jie [1 ]
机构
[1] Beijing Univ Technol, Coll Architecture Civil & Transportat Engn, Beijing 100124, Peoples R China
关键词
MR; fuzzy comprehensive evaluation; seismic retrofitting training system; VIRTUAL-REALITY; AUGMENTED REALITY; MANAGEMENT;
D O I
10.3390/buildings12101598
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Due to the complexity of the construction environment and retrofitting methods, it is difficult to achieve the expected retrofitting effect. Therefore, effective seismic retrofitting training is a necessary way to ensure retrofitting workers acquire enough professional knowledge, skills and safe behaviors, which are critical to retrofitting. Mixed reality has huge potential in construction training. This paper conducts a fuzzy comprehensive evaluation of the MR seismic retrofitting training system to research the potential of MR in training. The purpose of this research was to provide scientific guidance and reference for the development, improvement and selection of MR training systems in the future. In this research, the evaluation indicators of the MR training system were firstly analyzed. Next, the weight of each evaluation indicator was calculated by the judgment matrix. Then, the evaluation model was established based on the qualitative-quantitative transformation principle of indicators. Finally, the results of the MR seismic retrofitting training system are obtained by combining the evaluation model with the membership matrix. The evaluation result of the training system in this paper is excellent.
引用
收藏
页数:18
相关论文
共 50 条
  • [41] The fuzzy comprehensive evaluation of comfortability for patient transfer system
    Wang, Hongbo
    He, Xuefeng
    Zhang, Yajun
    Niu, Jianye
    Zhao, Xiong
    Lin, Sai
    Vladareanu, Luige
    PROCEEDINGS OF 2016 10TH INTERNATIONAL CONFERENCE ON SOFTWARE, KNOWLEDGE, INFORMATION MANAGEMENT & APPLICATIONS (SKIMA), 2016, : 156 - 161
  • [42] Health Care System Based on Fuzzy Comprehensive Evaluation
    Zhou, Shengwu
    Ma, Dan
    Ding, Yujie
    Bai, Qingsheng
    PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON MODELLING AND SIMULATION (ICMS2009), VOL 3, 2009, : 491 - 496
  • [43] Fuzzy comprehensive evaluation of service level of expressway system
    School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China
    Huanan Ligong Daxue Xuebao, 2009, 7 (26-30+41):
  • [44] A Fuzzy Logic Based System for Mixed Reality Assistance of Remote Workforce
    Pena-Rios, Anasol
    Hagras, Hani
    Gardner, Michael
    Owusu, Gilbert
    2016 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2016, : 408 - 415
  • [45] Selecting Training method of a rehabilitation robot Based on fuzzy comprehensive evaluation
    Chen, Lei
    Yang, Chang-niu
    Huang, Wen-quan
    Sun, Ze-gang
    Liu, Yu-cong
    PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING, MATERIALS AND ENERGY (5TH ICMEME2016), 2016, 90 : 213 - 218
  • [46] Comprehensive Fuzzy Evaluation Study on Training Performance of Corporate Sales Staff
    Zhao Shu-ying
    PROCEEDINGS OF 2009 CONFERENCE ON SYSTEMS SCIENCE, MANAGEMENT SCIENCE & SYSTEM DYNAMICS, VOL 9, 2009, : 179 - 183
  • [47] Fuzzy comprehensive evaluation and research on the effectiveness of enterprise talent training operation
    Liu, XS
    Zhang, Q
    PROCEEDINGS OF 2003 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE & ENGINEERING, VOLS I AND II, 2003, : 2536 - 2543
  • [48] Product quality evaluation system based on AHP fuzzy comprehensive evaluation
    Xi, Xi
    Qin, Qiuli
    JOURNAL OF INDUSTRIAL ENGINEERING AND MANAGEMENT-JIEM, 2013, 6 (01): : 356 - 366
  • [49] Fuzzy Comprehensive Evaluation of the Apron Control Transfer Management Evaluation System
    Lv, Meng
    Feng, Shaohong
    ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2021, 46 (02) : 1719 - 1728
  • [50] Fuzzy Comprehensive Evaluation of the Apron Control Transfer Management Evaluation System
    Meng Lv
    Shaohong Feng
    Arabian Journal for Science and Engineering, 2021, 46 : 1719 - 1728