{"title":"停车模型:一类随机规划","authors":"Hou Jiangzhou, Li Ruiyu","doi":"10.1109/GSIS.2007.4443552","DOIUrl":null,"url":null,"abstract":"Based on one kind of solvable mass unexpected incident, taken gray gambling method, a typical policy-making tree was constructed. In the condition of incomplete information, according to the trend of event, grey game process between \"crisis event\" and \"crisis manager\" was analyzed dynamically. It has theoretical meaning in establishing emergency strategy for policy-maker, and finally resolving mass unexpected incident.","PeriodicalId":445155,"journal":{"name":"2007 IEEE International Conference on Grey Systems and Intelligent Services","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Parking model: A class of stochastic programming\",\"authors\":\"Hou Jiangzhou, Li Ruiyu\",\"doi\":\"10.1109/GSIS.2007.4443552\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on one kind of solvable mass unexpected incident, taken gray gambling method, a typical policy-making tree was constructed. In the condition of incomplete information, according to the trend of event, grey game process between \\\"crisis event\\\" and \\\"crisis manager\\\" was analyzed dynamically. It has theoretical meaning in establishing emergency strategy for policy-maker, and finally resolving mass unexpected incident.\",\"PeriodicalId\":445155,\"journal\":{\"name\":\"2007 IEEE International Conference on Grey Systems and Intelligent Services\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IEEE International Conference on Grey Systems and Intelligent Services\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GSIS.2007.4443552\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE International Conference on Grey Systems and Intelligent Services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GSIS.2007.4443552","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Based on one kind of solvable mass unexpected incident, taken gray gambling method, a typical policy-making tree was constructed. In the condition of incomplete information, according to the trend of event, grey game process between "crisis event" and "crisis manager" was analyzed dynamically. It has theoretical meaning in establishing emergency strategy for policy-maker, and finally resolving mass unexpected incident.
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