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An incident information management framework based on data integration, data mining, and multi-criteria decision making

An incident information management framework based on data integration, data mining, and multi-criteria decision making

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时间：2019-06-03

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1、DecisionSupportSystems51(2011)316–327ContentslistsavailableatScienceDirectDecisionSupportSystemsjournalhomepage:www.elsevier.com/locate/dssAnincidentinformationmanagementframeworkbasedondataintegration,datamining,andmulti-criteriadecisionmakinga,⁎,YongZhangabaYiPeng,YuTang,ShimingLiaSchoolofMan

2、agementandEconomics,UniversityofElectronicScienceandTechnologyofChina,Chengdu,PRChina,610054bSchoolofComputerScienceandEngineering,UniversityofElectronicScienceandTechnologyofChina,Chengdu,PRChina,610054articleinfoabstractAvailableonline25November2010Aneffectiveincidentinformationmanagementsyst

3、emneedstodealwithseveralchallenges.Itmustsupportheterogeneousdistributedincidentdata,allowdecisionmakers(DMs)todetectanomaliesandextractusefulKeywords:knowledge,assistDMsinevaluatingtherisksandselectinganappropriatealternativeduringanincident,andIncidentinformationmanagementprovidedifferentiate

4、dservicestosatisfytherequirementsofdifferentincidentmanagementphases.ToDataintegrationaddressthesechallenges,thispaperproposesanincidentinformationmanagementframeworkthatconsistsDataminingofthreemajorcomponents.Thefirstcomponentisahigh-leveldataintegrationmoduleinwhichMultiplecriteriadecisionmak

5、ingheterogeneousdatasourcesareintegratedandpresentedinauniformformat.ThesecondcomponentisaDecisionsupportsystemdataminingmodulethatusesdataminingmethodstoidentifyusefulpatternsandpresentsaprocesstoprovidedifferentiatedservicesforpre-incidentandpost-incidentinformationmanagement.Thethirdcomponen

6、tisamulti-criteriadecision-making(MCDM)modulethatutilizesMCDMmethodstoassessthecurrentsituation,findthesatisfactorysolutions,andtakeappropriateresponsesinatimelymanner.Tovalidatetheproposedframework,thispaperconductsacasestudyonagrometeorologicaldisastersthatoccurredinChinabetween1997and2001.The

7、casestudydemonstratesthatthecombinationofdataminingandMCDMmethodscanprovideobjectiveandcomprehensiveassessmentsofincidentrisks.©2010ElsevierB.V.Allrightsreserved.1.Introductionheterogeneousdistributedincidentdatainastandardizedfor

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