| An Information Diffusion Technique for Fire Risk Analysis |
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| 作者姓名： | 刘静 黄崇福 |
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| 作者单位： | Institute of Resources Technology & Engineering，College of Resources Science & Technology，Beijing Normal University 100875，Key Laboratory of Environmental Change and Natural Disaster，Ministry of Education of China，Beijing Normal University 100875 |
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| 基金项目： | ProjectsupportedbytheScientificResearchFoundationfortheReturnedOverseasChineseScholars,StateEducationMinistryofChina,grantedtoProf.ChongfuHuang. |
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| 摘 要： | IntroductionRiskreferstoadverseanduncertainoutcomes.Fireisdangeroustopeopleandproperty,anditoccursuncertainly.Ingeneral,fireriskismeasuredbytheprobabilityoffireoccurringandthemajortaskofriskanalysisistoestimatetheprobabilitydistributionaboutafirewithrespecttodifferentlevels.Theprobabilitydistributionmightofferabaseforriskmanagement,toreduceorcontrolfirerisk.Infireriskanalysis,therearetwooutstandingproblemsthatdeserveourattention.First,asystemwhereafiremayoccurisgenerallytoocomplextobecaptured…
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An Information Diffusion Technique for Fire Risk Analysis |
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| LIU JingInstitute of Resources Technology & Engineering,College of Resources Science & Technology,Beijing Normal University HUANG Chong-fuKey Laboratory of Environmental Change and Natural Disaster,Ministry of Education of China,Beijing Normal University.An Information Diffusion Technique for Fire Risk Analysis[J].Journal of Donghua University,2004,21(3). |
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| Authors: | LIU JingInstitute of Resources Technology & Engineering College of Resources Science & Technology Beijing Normal University HUANG Chong-fuKey Laboratory of Environmental Change and Natural Disaster Ministry of Education of China Beijing Normal University |
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| Institution: | 1. nstitute of Resources Technology & Engineering, College of Resources Science & Technology, Beijing Normal University 100875
2. Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education of China, Beijing Normal University 100875 |
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| Abstract: | There are many kinds of fires occurring under different conditions. For a specific site, it is difficult to collect sufficient data for analyzing the fire risk. In this paper, we suggest an information diffusion technique to analyze fire risk with a small sample. The information distribution method is applied to change crisp observations into fuzzy sets, and then to effectively construct a fuzzy relationship between fire and surroundings. With the data of Shanghai in winter, we show how to use the technique to analyze the fire risk. |
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| Keywords: | Fire risk Small sample Information distribution Fuzzy relationship |
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