{"title":"应急规划的决策支持工具","authors":"Haibo Wang, B. Alidaee, Jiefang Li, Hongman Gao","doi":"10.1504/IJSSCI.2009.024938","DOIUrl":null,"url":null,"abstract":"We propose a framework on developing a decision support tool for emergency management planning. This framework involves development of innovative dynamic risk and uncertainty analysis methods known as quality function deployment. Instead of simply computing the weight of emergency planning criteria, we used rule-based expert system to handle the interdependency among the criteria. The expert system with composite rules is encoded into a Boolean satisfiability problem, which can be solved by a quadratic unconstrained binary optimisation method. We also discuss the approach based on the use of the visualisation tools by integrating with GIS and other information support systems. In this respect, this proposed approach completely changes the current practice of emergency management planning.","PeriodicalId":365774,"journal":{"name":"International Journal of Services Sciences","volume":"251 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A decision support tool for emergency planning\",\"authors\":\"Haibo Wang, B. Alidaee, Jiefang Li, Hongman Gao\",\"doi\":\"10.1504/IJSSCI.2009.024938\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a framework on developing a decision support tool for emergency management planning. This framework involves development of innovative dynamic risk and uncertainty analysis methods known as quality function deployment. Instead of simply computing the weight of emergency planning criteria, we used rule-based expert system to handle the interdependency among the criteria. The expert system with composite rules is encoded into a Boolean satisfiability problem, which can be solved by a quadratic unconstrained binary optimisation method. We also discuss the approach based on the use of the visualisation tools by integrating with GIS and other information support systems. In this respect, this proposed approach completely changes the current practice of emergency management planning.\",\"PeriodicalId\":365774,\"journal\":{\"name\":\"International Journal of Services Sciences\",\"volume\":\"251 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-05-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Services Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/IJSSCI.2009.024938\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Services Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJSSCI.2009.024938","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We propose a framework on developing a decision support tool for emergency management planning. This framework involves development of innovative dynamic risk and uncertainty analysis methods known as quality function deployment. Instead of simply computing the weight of emergency planning criteria, we used rule-based expert system to handle the interdependency among the criteria. The expert system with composite rules is encoded into a Boolean satisfiability problem, which can be solved by a quadratic unconstrained binary optimisation method. We also discuss the approach based on the use of the visualisation tools by integrating with GIS and other information support systems. In this respect, this proposed approach completely changes the current practice of emergency management planning.