evaluatesupiea

upiea  时间:2021-02-24  阅读:()
D.
Li,Y.
Liu,andY.
Chen(Eds.
):CCTA2010,PartI,IFIPAICT344,pp.
674–680,2011.
IFIPInternationalFederationforInformationProcessing2011EvaluationontheAgriculturalWebsite'sEfficiencyBasedonDEAMethodShangminDeng1andWeiliMen21Headmaster'sOfficeofShandongUniversityofTechnology,Zibo,P.
R.
Chinadeng2132@sdut.
edu.
cn2ScienceandTechnologyInformationResearchInstituteofShandongUniversityofTechnology346380987@163.
comAbstract.
Aninformation-drivenagricultureisfirstlyagriculturedigitalization,thefoundationofwhichistheconstructionofagriculturalinformationnet-works.
Basedonthemethodsofwebsiteevaluation,anindicatorsystemofeffi-ciencyevaluationforagriculturalinformationwebsitesisconstructedinthisthesis.
Thentheefficiencyof17municipalwebsitesinShandongprovinceareanalyzedbytheC2RModelinDEA.
Theresultdeclaresthat3oftheseweb-sitesarerelatedeffectiveandtheother14arenon-effective.
Byananalysisofprojection,thisthesisalsogivessuggestionstoimprovetheperformanceofthenon-effective.
Keywords:Agriculturalinformationwebsite,Efficiencyofwebsite,DataEn-velopmentAnalysis(DEA),Evaluationresearch.
1IntroductionIssuesconcerningagriculture,countrysideandfarmers,arecalledThreeRuralQues-tions,whichtakeancrucialpartintherealizationofthegoalofawell-to-dosocietyandthedevelopmentofourcountry'seconomy.
Itisacknowledgedthatitwillbeharderforuninformeddistrictstodeveloptheirownagriculture.
Nowadays,theinformationgapbetweenurbanandruralareashasattractedwideattentionofexpertsfromInformationScience.
ThePartyCentralCommittee,since16thpartycongress,hammersawayatthepointthatweshouldalwaystakeaddressingtheproblemsfacingChina'sagricultureasthetoppriorityofoureconomic,andalsoputforward"toboostthecountyeconomy"atthesametime.
Oneof"theThreeMostRequire-ment",raisedontheThirdPlenarySessionofthe11thCentralCommitteeoftheC.
P.
C,isthatthepositionofagricultureasthefoundationisstillweakandneedtobrushuponthemost.
InMarch2010,thegovernmentofShandongprovincemakestheimplementationoftheplannamed"PowerfulProvinceofinformation"andthedevelopmentofDigitalAgriculturepositivelyaskeypointstopromotenewInforma-tionIndustries.
[1]EvaluationontheAgriculturalWebsite'sEfficiencyBasedonDEAMethod675Theinformationizationofagriculture,inthefirstplace,isdigitalization,whichmeanstodevotemajoreffortstodevelopthedigitalagriculture.
Asweallknowthat,thefoundationofdigitalizationistheconstructionofinformationnetworksandtheservicelevelisdeterminedbysuchfactorsastheresources,theinfrastructuralfacili-tiesandtheenvironmentofinformationization,aswellasthehumanresourcesandtheeffectivenessofagriculturalinformationservices.
Inanotherword,theinforma-tionizationofagriculturalservicecanbedemonstratedbythatofagriculture.
[2]So,itisreasonabletoestimatethepresentsituationofagricultureservices.
However,be-causeofthedifferenceingeographicalconditionsandculturebackgrounds,weneedaappropriatemethodtoselectedsamplescomprehensivelyandobjectively.
FortunatelythereisasuccessfulprecedentcreatedbytheDEA(DataEnvelopmentAnalysisforshort)whichisconvenientandpractical.
[3]2DataEnvelopmentAnalysisDEAwhichisshortforDataEnvelopmentAnalysisisanewsystemanalyticme-thod.
Itwasfirstlyputforwardbytwooperationalresearchexperts,A.
CharnesandW.
W.
Copper,todealwithinputsandoutputssubjecttorandomdisturbances,accord-ingtotherelativeefficiencyandevaluationofreturnsforfamiliardepartments.
Basedontheconceptofrelativeefficiencies,thismethodevaluatestherelativeefficiencyofDMUs(DecisionMakingUnitsforshort)bylinearprogrammingmodel.
BesidesevaluateandlistDMUsasrelativeefficiency,theresultsalsowillpointoutexistingproblemsandimprovementfornon-efficientDMUs.
Furthermore,insteadofsettingtheweightofinputs/outputsbeforehand,DEAgetsobjectivevalueforeachrandomvariablebycomputingactualdatas,whichmakestheconclusionindependentlyandimpartially.
[4]Inthelightofdifferentresearchpurposes,therearemanydifferentDEAmodels.
Inthisthesis,weselecttheC2RmodeljustbecausewewanttostudywhethertheDMUsaretechniqueandscalesimultaneouslyefficientwhentodecreaseitsinputsbysuit-abletimeswithitsunchangedoutputs.
TheDMUistechniqueorscaleefficientunlessitisDEAefficient;otherwise,itwillbenotefficient.
3DescriptionoftheModelofC2RAsthefirstevaluationmodel,theresultsofC2Rcanbeusedtodemonstratetheeffi-cientofDMUs.
ForthesakeofourdiscussionweassumethatthenumberofDMUsisn,andthenumberofinputandoutputvariableseachDUMhasis"m"and"s"respec-tively.
wealsosetupamathematicalformulaoftherelationshipforthetwokindsofvariablestofulfill:Xj=(X1j,X2j,X3j,…,Xmj)T≥0,Yj=(Y1j,Y2j,Y3j,…,Ysj)T≥0,j=1,…,n;Atthesametime,othercertainconditionsshouldbesatisfied:Xij>0,Yrj>0,i=1,2,…,m;r=1,2,…,s.
676S.
DengandW.
MenThemodelisknownasefficiencyevaluationofdecision-makingunitssuchasj0,subjecttomeetingtheefficiencyofalltheDUMsatcheckpoints,thenwecometoaC2Rmodlewithnonarchimedeaninfinitesimalvector.
TheoptimalityisrelativeefficiencyofaDMU,ascontrastedwithotherDUMs,accordingtowhathavewesuggested.
[5]Here,weuseθastheinputproportionalvariable,εasthenonarchimedeaninfini-tesimalvector(usually,weletitbe10-6);=(1,1…,1)∈Em,=(1,1…,1)∈Es;isslackvariablescorrespondtoinputs,=(…)isthevariabletooutputandtheλjisthedecisionvariablefortheappointedDMU.
Whenthismodelisappliedtodata,wewillgettheoptimalsolutioncomposedofλj,S*-,S*+andθ*.
Thereareseveralresultsthatweshouldmakeintoourconsid-eration:(1)Whenθ0=1,s0-=0ands0+=0,wethinktheDMUisefficiencywhichmeanstechniqueandscalearesimultaneouslyefficient.
(2)Whenθ0=1,-,buts0-≠0ors0+≠0,webelievethatundersomeconditionstheDMUisweakDEAefficient.
Inotherwords,theeithertechniqueorscaleisefficient.
(3)Whenθ0upieaobjectively,weneedtoclassifieddiffer-entupdatingperiodsinsorts.
Inthisthesis,wedividetheperiodsintofourcatalogues.
Accordingtothedifferentinfluence,wegiveweightstotheperiodsrespectively.
NBLmeansusingthiskindoflinks,wecannotfindthetargetwebsite.
Thoughthis,wehaveanotherwaytomeasuretheeffectiveofwebsites.
ThemoreFRPis,thelong-ertimeitwilltaketooperatethewebsite.
NRPhavethesimilarfunctionasCP.
Bothofthemevaluatetheeffectivenessofwebsitefromtheeyeofsitenavigations.
Output(outpforshort)variableswechoosemeansthenumberofvisitorstothesite,whichhasacertainrelationwithTFS.
Becauseavisitormayglanceovermanydifferentdocumentsormorethanonewebsites,theclicksmaybemuchlarger.
[9]4.
2SampleTodeterminetheAgriculturalWebsite'sEfficiency,wechoose17sitesasDMUsset,builtbyAgriculturalInformationCentreofShandongprovinceandsubordinatede-partments.
Theyhavecommoninmanyaspectssuchascontents,receiversandfunc-tions,whichmeettherequirementsforapplicationofC2RmodelinDEA.
4.
3DataUsingMaxamine[10],aspecializedprofilertomakeaanalysisofnetworks,themen-tionedsiteswerescanned.
Theobjectivedataswecollectedincludestheinternalin-formationofthesitesandinterconnectioninformationbetweennetworks,amongwhich,theUDRarecalculatedastable1.
Theoutputconsultverifiedtestresultsfromalexa.
com,anauthoritativeThird-partycertificationwebsite,applyingthenumberofvisitorforthetargetedsite.
Table1.
CalculationmethodsofupdaterateofwebsiteupdatecycleofpagesupdaterateRiWeightλupdaterateofwebsite≤1weekR10.
501week~6weeksR20.
306weeks~6monthsR30.
15≥6monthsR40.
05678S.
DengandW.
MenTable2.
AppraisalindexoftheefficiencyofwebsitesinshandongprovincenameofcountiestheefficiencyofwebsitenameofcountiestheefficiencyofwebsiteQingdao1.
000Dongying0.
284Weihai1.
000Weifang0.
243Jinan1.
000Binzhou0.
143Zibo0.
662Linyi0.
122Liaocheng0.
494Dezhou0.
057Laiwu0.
439Tai-an0.
055Jining0.
395Zaozhuang0.
050Yantai0.
362Rizhao0.
042Heze0.
315Formtable2,wecanseethatthreeDUMSareofeffectiveunitsinDEA.
Inotherwords,theothers14arenonDEAefficient,amongwhich,therearefourwebsiteshaveaneffectivenessbelow0.
01.
Therefore,itcanbeconcludedthat,theagriculturalsites,efficiencyinShandongarelowerthanexpected.
Then,wemakeanprojectionanalysisforthenonDEAefficientbasedontheDEAP2.
1results.
Themaintaskistoanalyzerelativeimprovementofinputswhenoutputsisremainunchanged.
Wealsocalculatepotentialimprovementsofinputsandoutputsunderidealcondition.
Theaveragepotentialimprovementsareshowedintable3.
Thepotentialimprove-mentsdemonstratethat,referencetothenonDEAefficientDMUs,wehavenotmakefulluseofeachinputalready,so,intheoryatleast,wecanpromotethesiteseffi-ciencyandinduceinputs.
Ifwekeepinputsstill,theoutputisalsocanbepromotedby61%.
Inotherwords,ifinputscannotbereduced,theoretical,efficiencycanberaisedbytheincreasingnumberofvisitors.
Table4showsmainfactorsinfluencingwebsitesefficiency,includingFRP,TAG,NRPandAPS.
4.
4RecommendationsFromtable2,weknowthattheoperationefficienciesareverydifferentamongthese17municipalagriculturewebsites,eventhoughmostofthemareinefficient.
Refer-encetononDEAefficient,combinedwiththeanalysisoftable3andtable4,wesuggestthattherelativedepartmentsshouldtakesuchactionsasfollowingtoimprovetheperformanceofthenonDEAefficient:Table3.
ThemeanpotentialimprovementsforinputandoutputindexesLWHP,QS,QS,QS,QS,QS,QS,QS,QS2XWS7$*$367)68'51%/)35153&35HDFKPHDQEvaluationontheAgriculturalWebsite'sEfficiencyBasedonDEAMethod679Table4.
AnalysisonthemaininfluencefactorsforinefficientDMUswebsiteComparedItemwebsiteComparedItemwww.
zbny.
gov.
cnAPSwww.
wfny.
gov.
cnTFS,FPRwww.
lcagr.
cnTAG,FPR,NRPwww.
bzny.
gov.
cnTFS,NRPagri.
laiwu.
gov.
cnTAG,APS,NBL,www.
lyny.
gov.
cnTAGwww.
kelawang.
comTAG,FPRwww.
dzny.
gov.
cnTAG,NBL,NRPwww.
ytny.
gov.
cnTAG,UDR,NBL,www.
tany.
gov.
cnTFS,FPR,NRPwww.
hzsny.
gov.
cnTAG,APS,UDR,www.
zznjh.
gov.
cnFPR,NRPwww.
dyny.
gov.
cnFPRwww.
rzny.
gov.
cnAPS,FPR,NRPAbstractcontents.
ThetargetofthisactionistoreduceTAGandlowerAPS.
Thetwoaspectsnotonlyreflecttheinformationwebsitecontents,butalsothewebsite'susabilityandsecurity.
Agriculturesitesaremadeforagricultureparticipantsandrelativedepartments.
Soearlyinthewebsiteconstruction,weneedtoconsiderhowtodesignthepagesreasonably,andabstractthecontenttoensureitsusabilityandsecurity.
CutdownNRP.
NRPevaluateswebsitesfromtheperspectiveofnavigation.
Thisaspectmeansreducinginputsofnavigation.
IfthesitehasasetRobustness,themorecomplexitythenavigationis,theeasiervisitorswillbelost.
This,finally,willindi-rectlyaffectthewebsite'sefficiency.
Ifthenavigationissimplified,notonlytheus-abilityisimproved,butalsotheinputsoftheoperationcanbecutdown.
ReduceTFS.
Thismethodincludesreducinginputsofwebsitepromotionorincreasethenumberofthevisitors.
Onsomedegree,TFSrepresentsthestabilityofawebsite,yetthemoreexternallinksare,thehigheritwillcost.
Checkingdeadlinks,updatingoldlinksandotherresourcesmaintenancewillaffecttheoperationefficiency.
So,inordertopromotetheefficiency,weneedtoreduceTFSwhilethequalityofthewebisensured.
Onlyinthisway,canweattractmoreattentionandkeepthesiteauthority.
5ConclusionsThoughalltheabovementioned,wehaveaclearideathatthereare14websitesarenonDEAefficient,whichcountsfor84.
3%ofallmunicipalwebsitesinShandongprovince.
Wehavepresentedadetailedaccountingofefficiencyofagriculturalweb-sitesandsuggestionsarealsogiventoimprovethecurrentsituation.
Evaluationoftheagriculturewebsites'efficiencycannotonlyreflectthepresentsituationofShandongagriculture,butalsobevaluableforfurtherdevelopmentintheconstructionofinfor-mationagricultureandapplicationofrelatednetresources.
680S.
DengandW.
MenReferences1.
Liu,S.
H.
:StudyontheIndicatorSystemforMeasuringtheRuralAreaInformatizationLevelinChina.
J.
LibraryandInformationService,33–36(1981)2.
Han,X.
S.
,Pan,H.
F.
,Wen,J.
H.
,etal.
:EvaluationandStudyonDevelopmentofAgricul-tureInformationService.
J.
JournalofAgriculturalMechanizationResearch,20–23(2007)3.
Hu,P.
,Fu,Y.
Y.
,Gan,L.
:EvaluationonagriculturesitesinwesternareaBasedonDEAandClusteranalysis.
J.
ScienceandManagement,20–22(2005)4.
Du,D.
,Pang,Q.
H.
:ContemporaryComprehensiveevaluationmethodsandclassicdocu-mentation.
TsinghuaUniversityPress,Beijing(2005)5.
Lan,F.
:TheEvaluationofChinasCirculationEconomyEfficiencyBasedonDEA.
J.
JournalofHarbinUniversityofCommerce(SocialScienceEdition),16–19(2000)6.
Wu,L.
:Evaluationontheefficiencyofeco-technologyInnovationbasedonDEA.
J.
TechnologyProgressandPolicy,114–117(2009)7.
Tan,L.
,Wang,X.
C.
:StudyontheEvaluationofAgricultureWebSite.
JournalofAnhuiAgriculturalSciences,1876–1882(2007)8.
Sun,Y.
L.
,He,Y.
,Zhao,Z.
N.
:EvaluationontheWesternAgriculturalWebsitesEffi-ciencyBasedonDEAMethod.
JournalofIntelligence,14–17(2009)9.
Qiu,H.
:TheoryResearchandApplicationforDEAinwebsitesevaluation.
CambridgeUniversityPress,NewYork(2005)10.
WebAnalystSoftwarePackage,http://www.
maxamine.
com

Cloudxtiny:£1.5/月,KVM-512MB/100GB/英国机房

Cloudxtiny是一家来自英国的主机商,提供VPS和独立服务器租用,在英国肯特自营数据中心,自己的硬件和网络(AS207059)。商家VPS主机基于KVM架构,开设在英国肯特机房,为了庆祝2021年欧洲杯决赛英格兰对意大利,商家为全场VPS主机提供50%的折扣直到7月31日,优惠后最低套餐每月1.5英镑起。我们对这场比赛有点偏见,但希望这是一场史诗般的决赛!下面列出几款主机套餐配置信息。CPU...

BeerVM1GB内存/VDSps端口1GB,350元/月

beervm是一家国人商家,主要提供国内KVM VPS,有河南移动、广州移动等。现在预售湖南长沙联通vds,性价比高。湖南长沙vps(长沙vds),1GB内存/7GB SSD空间/10TB流量/1Gbps端口/独立IP/KVM,350元/月,有需要的可以关注一下。Beervm长沙联通vps套餐:长沙联通1G青春版(预售)长沙联通3G标准版(预售)长沙联通3G(预售)vCPU:1vCPU:2vCPU...

3元/首月香港便宜vps究竟是什么货。

便宜的香港vps多少钱?现在国外VPS主机的价格已经很便宜了,美国VPS主机最低一个月只要十几元,但同样免备案的香港VPS价格贵不贵呢?或者说便宜的香港VPS多少钱?香港vps主机价格要比美国机房的贵一些,但比国内的又便宜不少,所以目前情况是同等配置下,美国VPS比香港的便宜,香港VPS比国内(指大陆地区)的便宜。目前,最便宜香港vps低至3元/首月、18元/月起,今天云服务器网(www.yunt...

upiea为你推荐
网店推广网站怎么免费推广淘宝店铺?lockdowndios8.1能用gpp3to2吗?型号A1429ejb开发什么是EJB?它是干什么的?和JAVA,JSP有关系吗?他们各有什么特点和用途?分词技术什么是seo分词技术微信电话本怎么用微信电话本如何使用?聚美优品红包聚美优品红包怎么获得去鼠标加速度请教如何正确的去处鼠标加速度~防钓鱼游戏中的防钓鱼检查是什么?首页无法修改主页不能修改怎么办怎么把网页的字变大如何使网页的字体变大?
免费域名注册网站 国外免费vps 免费动态域名 locvps 老鹰主机 百度云100as vpsio namecheap uk2 xfce 空间服务商 刀片服务器是什么 网站卫士 华为云盘 游戏服务器出租 服务器防火墙 netvigator hosting24 2016黑色星期五 防盗链 更多