Prediction Research of Death Number in Construction Accident Based on Unbiased Grey-Fuzzy-Markov Chain Method

被引:0
|
作者
Li, Yu [1 ]
Li, Mengnan [1 ]
机构
[1] Dalinjiaotong Univ, Dalian, Peoples R China
关键词
The unbiased grey-fuzzy; Markov chain method; Construction industry; Prediction;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Some of the inherent characteristics of the construction industry makes frequently construction safety accidents, and as well, that's caused a serious of adverse effects, by now, the effective prediction which is about the trend of death number in construction accident becomes extremely important. However, the statistics of accidents is less and volatility, single evaluation model can not improve the prediction accuracy because of their limitations, leading to the low prediction accuracy of death number. The evaluation model which is combining many kinds of evaluation models has more advantages, put the unbiased theory and the fuzzy into the traditional grey markov prediction model, establish unbiased gray-fuzzy-markov chain model. This method based on the number of deaths in construction accident in 2003-2012, forecast the number in 2013-2015, then proposes some appropriate management measures.
引用
收藏
页码:560 / 566
页数:7
相关论文
共 50 条
  • [21] Assessment and Prediction of Opioid Crisis Based on Markov Chain Theory and Fuzzy Comprehensive Evaluation Method
    Yang, Xingxing
    Chen, Cong
    2019 18TH INTERNATIONAL SYMPOSIUM ON DISTRIBUTED COMPUTING AND APPLICATIONS FOR BUSINESS ENGINEERING AND SCIENCE (DCABES 2019), 2019, : 266 - 269
  • [22] A novel Prediction Method for Electric Power Demand based on Markov Chain model with a Fuzzy Probability
    Zhang, Hongliang
    ENERGY DEVELOPMENT, PTS 1-4, 2014, 860-863 : 2560 - 2564
  • [23] Research on accident prediction in chemical industry based on improved Markov model
    Wang W.
    Yang J.
    Liu Z.
    Liu G.
    Liu, Gang (giggs1208@sina.com), 1600, Italian Association of Chemical Engineering - AIDIC (59): : 1165 - 1170
  • [24] E-commerce growth prediction model based on grey Markov chain
    Wang, Pengfei
    Yu, Shuaijing
    International Journal of Electronic Business, 2024, 19 (04) : 362 - 379
  • [25] Performance prediction of asphalt pavement based on PSO-entropy weighted unbiased grey Markov model
    Li Y.
    Zhang J.
    He Y.
    Zhao X.
    Zhang Z.
    Dongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University (Natural Science Edition), 2024, 54 (02): : 416 - 422
  • [26] Prediction of engineering equipment support cost using a hybrid method based on Grey neural network and Markov chain
    Zhi, Jun
    Liu, Jianyong
    SCIENTIFIC RESEARCH AND ESSAYS, 2010, 5 (20): : 3164 - 3174
  • [27] Research on forecasting method based on improved set pair analysis and fuzzy-markov chain
    Wang, Qingrong
    Xu, Feng
    Zhang, Qing
    Journal of Information and Computational Science, 2014, 11 (14): : 5175 - 5182
  • [28] An Improved Grey-Markov Chain Method with an Application to Predict the Number of Chinese International Airlines
    Xie, Jianwen
    Zhang, Yuanbiao
    Jiang, Weigang
    ISISE 2008: INTERNATIONAL SYMPOSIUM ON INFORMATION SCIENCE AND ENGINEERING, VOL 2, 2008, : 716 - 720
  • [29] Combined Throughput Prediction of Fujian Coastal Ports based on Grey Model and Markov Chain
    Wang, Yu
    Wang, Zhiming
    PROCEEDINGS OF THE 2018 INTERNATIONAL SYMPOSIUM ON SOCIAL SCIENCE AND MANAGEMENT INNOVATION (SSMI 2018), 2018, 68 : 97 - 104
  • [30] Building a prediction model of solar power generation based on improved Grey Markov Chain
    Cui, Chongyu
    Li, Zhaoxia
    Zhang, Junjie
    INTERNATIONAL JOURNAL OF GLOBAL ENERGY ISSUES, 2022, 44 (2-3) : 139 - 149