Early warning method for emergencies based on linguistic information

doi:10.16265/j.cnki.issn1003-3033.2020.08.014

Abstract

Abstract: In order to make up for deficiencies of existing studies which neglected fuzziness of information related to emergency early warning in real word, a warning method based on linguistic information was proposed. Firstly, calculation method for basic belief degree of linguistic information under fuzzy frame was provided. Secondly, the information was fused by employing fuzzy evidential reasoning. Thirdly, safety status of warning objects were determined according to final belief degrees of different assessment grades so as to attain early warning purpose. Finally, a numerical example was applied to illustrate feasibility and validity of proposed method. The results show that it can deal with fuzzy warning information of emergencies in real world successfully.

Key words: linguistic information, emergency, early warning, fuzzy evidential reasoning, belief degree

CLC Number:

X928.03

ZHANG Zixin, WANG Liang, WANG Yingming. Early warning method for emergencies based on linguistic information[J]. China Safety Science Journal, 2020, 30(8): 93-100.

References

[1] IFRC. Word disaster reprot 2016[EB/OL]. [2018-12-09]. http://media.ifrc.org/ifrc/publications/world-disasters-report-2016/.
[2] ZAMBRANO A M, PEREZ I, PALAU C, et al. Technologies of internet of things applied to an earthquake early warning system[J]. Future Generation Computer Systems, 2017, 75: 206-215.
[3] BIANSOONGNERN S, PLUNGKANG B, SUSUK S. Development of low cost vibration sensor network for early warning system of landslides[J]. Energy Procedia, 2016, 89: 417-420.
[4] VISHERATIN A A, MELNIK M, NASONOV D, et al. Hybrid scheduling algorithm in early warning systems[J]. Future Generation Computer Systems, 2018, 79: 630-642.
[5] NAIDU S, SAJINKUMAR K S, OOMMEN T, et al. Early warning system for shallow landslides using rainfall threshold and slope stability analysis[J]. Geoscience Frontiers, 2018,9(6): 1 871-1 882.
[6] YANG Zhongshan, WANG Jian. A new air quality monitoring and early warning system: air quality assessment and air pollutant concentration prediction[J]. Environmental Research, 2017, 158: 105-117.
[7] AKWANGO D, OBAA B B, TURYAHABWE N, et al. Quality and dissemination of information from a drought early warning system in Karamoja sub-region, Uganda[J]. Journal of Arid Environments, 2017, 145: 69-80.
[8] YAN Zhigang, WANG Xueli, FU Yingchun. Study on early warning model of coal mining engineering with fuzzy AHP[J]. Systems Engineering Procedia, 2012, 5: 113-118.
[9] DOKAS I M, KARRAS D A, PANAGIOTAKOPOULOS D C. Fault tree analysis and fuzzy expert systems: early warning and emergency response of landfill operations[J]. Environmental Modelling & Software, 2009, 24(1): 8-25.
[10] PYAYT A L, SHEVCHENKO D V, KOZIONOV A P, et al. Combining data-driven methods with finite element analysis for flood early warning systems[J]. Procedia Computer Science, 2015, 51: 2 347-2 356.
[11] 张洪涛. 两维语义证据推理方法及其在科学基金评估中的应用研究[D].合肥: 合肥工业大学,2013.
ZHANG Hongtao. Research on two dimentional linguistic information based on evidential reasoning and it's application in scientific foundation project selection[D]. Hefei: Hefei University of Technology, 2013.
[12] 张自欣,王亮,王应明,等.基于证据推理的突发事件预警方法研究[J].中国管理科学,2015,23(增1): 291-296.
ZHANG Zixin, WANG Liang, WANG Yingming, et al. Study on the early-warning method of emergency event based on evidential reasoning[J]. Chinese Journal of Management Science, 2015, 23(S1): 291-296.
[13] 张自欣,王亮,王应明.区间信息类型下的突发事件动态预警方法[J].控制与决策,2017,32(7): 1 306-1 312.
ZHANG Zixin, WANG Liang, WANG Yingming. Dynamic early-warning method of emergency event with interval information[J]. Control and Decision, 2017, 32(7): 1 306-1 312.
[14] ZADEH L A. The concept of a linguistic variable and its application to approximate reasoning[J]. Information Science, 1975, 11: 199-249.
[15] ZIMMERMANN H J. Fuzzy set theory and its applications[M]. Boston: Kluwer Academic Publishers, 1991: 15-23.
[16] DEMPSTER A P. Upper and lower probabilities induced by a multivalued mapping[J]. The Annals of Mathematical Statistics, 1967,38(2): 325-339.
[17] SHAFER G. A mathematical theory of evidence[M]. Princeton: Princeton University Press, 1976: 5-10.
[18] WALLEY P. Measures of uncertainty in expert systems[J]. Artificial Intelligence, 1996, 83(1): 1-58.
[19] WANG Yingming, YANG Jianbo, XU Dongling. Environmental impact assessment using the evidential reasoning approach[J]. European Journal of Operational Research, 2006, 174(3): 1 885-1 913.
[20] YANG Jianbo, WANG Yingming, XU Dongling, et al. The evidential reasoning approach for MADA under both probabilistic and fuzzy uncertainties[J]. European Journal of Operational Research, 2006, 171(1): 309-343.
[21] XU Dongling, YANG Jianbo, WANG Yingming. The evidential reasoning approach for multi-attribute decision analysis under interval uncertainty[J]. European Journal of Operational Research, 2006, 174(3): 1 914-1 943.
[22] 冯志斌, 孙超, 侯昭敏.大型社会经营活动的安全管理构想[J]. 现代职业安全, 2006(8): 64-66.
[23] 上海外滩踩踏事件已致35死43伤习近平做重要指示[EB/OL]. (2015-01-01). http://www.chinanews.com/gn/.