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;分,是群决策的热点问题之一.这里探讨的是加权投票制下对多方案或候选人进行排序的权力分析.通过群体排序距离建立了方案排序的加权投票制的权力测度模型,就不单可以用于测度方案排序的加权投票制决策个体的权力大小,还可以用于分析方案排序的加权投票制中权重分配的合理性.但应该注意到,该权力测度模型与排序的距离参数q息息相关,若取q等于1,即排序距离为线性距离时,甲,乙,丙的相对权力为(0.062,0.313,0.625),若取q等于2,即排序距离为欧几里得距离时,甲,乙,丙的相对权力为(0.089,0.313,0.567),若让q→∞,即排序距离为车比雪夫距离时,甲,乙,丙的相对权力为(0.111,0.333,0.556).进行实际分析时取q为何值,使用者可根据自己的偏好来决定.至于说应取何值更合理,有待进一步研究
本文在二元选择下,测算加权投票制的表决权的大小有两种广泛被接受的方法,即Shapley-Shubik指数法与Banzhaf指数法,但它们都不能解决多备选方案或多候选人时决策个体的权力问题.本文利用排序距离来度量不同群体偏好序差异,从而提出了无论被选方案或候选人是两个还是两个以上的加权投票制下对方案或候选人进行排序的决策个体权力计算方法,并进行了实例分析.
摘自《系统工程》2005年01期
Searchfor:等于(Statistic+quantity+account+math+model)*economy{DATE等于2005}
Abstract等于(Statistic+quantity+account+pute+math+model)*economy{DATE等于2005}
Title等于GDP{DATE等于2005}
Abstract等于GDP{DATE等于2005}
Searchfrom:Elsevier电子期刊全文库(SDOS)SpringerResult:Themineraleconomy:Amodelfortheshapeofoilproductioncurves
Keywords:mineraleconomy,model,oil,productioncurves
Abstract:Theproductionandthedepletionofmineralresources,andespeciallyoilandfossilfuels,hasbeenanobjectofextensivepredictivemodeling.ThesepredictionsareoftenderivedfromHubbert'smodelwhichisbasedonthefittingoftheexperimentaldatatoasymmetric,bell-shapedcurve.Althoughthismodeldescribesseveralhistoricalcases,inparticular,crudeoilproductioninthelower48USstates,notalltheoreticalmodelsforthe"mineraleconomy"arebasedonsymmetriccurves.Also,notmuchattentionhasbeendedicatedsofartothemechanismswhichleadtosuchabehavior.Inparticular,scarceattentionhasbeendedicatedtothefactorswhichmaymaketheproductioncurveasymmetric,e.g.adeclineinproductionmoreabruptthanthegrowth.Inthepresentpaper,theauthorusesastochasticmodeltoexaminefactorsaffectingthesephenomena.Theresultsofthesimulationsindicatethattheproductioncurvesofanon-renewableresourcemaybeasymmetricindependenceonfactorssuchasthesearchstrategyorthepresenceoftechnologicalimprovements.Consideringworldwideoilproduction,thesimulationsindicatethattheafter-peakdownwardslopemightturnouttobeconsiderablymoresteepthantheupwardslope,somethingthatcouldhaveunpleasanteffectsontheeconomy.
Source:EnergyPolicy,v33,n1,January,2005,p53-61
Distributedwaterresourcesmodel:Establishingtherelationshipbetweenwaterresourcesandthesocialeconomy
Keywords:waterresources,model,socialeconomy
Abstract:Nowadayswaterresources,socialeconomyandlandusearecloselyintouchwitheachother,butamodelintegratingallthreeaspectsisstillabsent.Thispaperputsforwardaconceptualframeworkforsynthesizingthese,calledtheDistributedWaterResourceModelFramework(DWRMF).DWRMFdividesthestudyareaintospatialunits.Foreachunit,thewaterresourcesandrelatedeconomyandlandusearedescribedandthemechanismsinfluencinginteractionsbetweenthesearesetup,withinoneunit,amongtheunitsandbetweenaunitandtheregionoutsideofthestudyarea.Todescribeandholdthekeyfactorscorrectly,itisnecessarytouseinter-disciplinaryknowledge.InthiswaythemodelbasedonDWRMFcanbewidelyused.
Source:IAHS-AISHPublication,n293,2005,p94-97
Improvingbehavioralrealisminhybridenergy-economymodelsusingdiscretechoicestudiesofpersonaltransportationdecisions
Keywords:energy-economy,models,transportationdecisions
Abstract:Hybridenergy-economymodelsbinetop-downandbottom-upapproachestoexplorebehaviorallyrealisticresponsestotechnology-focusedpolicies.ThisresearchusesempiricallyderiveddiscretechoicemodelstoinformkeybehavioralparametersinCIMS,ahybridmodel.Thediscretechoicemodelsareestimatedforvehicleandmutingdecisionsfromasurveyof1150Canadians.WiththechoicemodelsintegratedintoCIMS,wesimulatecarbontaxes,gasolinevehicledisincentives,andsingleoccupancyvehicledisincentivestoshowhowdifferentpolicyleverscanmotivatetechnologicalchange.Wealsousetheempiricalbasisforthechoicemodelstoportrayuncertaintyintechnologicalchange,costs,andemissions.
Source:EnergyEconomics,v27,n1,January,2005,p59-77
Combiningtop-downandbottom-upapproachestoenergy-economymodelingusingdiscretechoicemethods
Keywords:energy-economy,discretechoicemethods
Abstract:Recently,hybridmodelsoftheenergy-economyhavebeendevelopedwiththeobjectiveofbiningthestrengthsofthetraditionaltop-downandbottom-upapproachesbysimulatingconsumerandfirmbehavioratthetechnologicallevel.Weexploreheretheapplicationofdiscretechoiceresearchandmodelingtotheempiricalestimationofkeybehavioralparametersrepresentingtechnologychoiceinhybridmodels.Weestimateadiscretechoicemodeloftheindustrialsteamgenerationtechnologydecisionfromasurveyof259industrialfirmsinCanada.Theresultsprovidebehavioralparametersfo
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