一种基于增益水平激励的动态综合评价方法

24220094JOURNALOFSYSTEMSENGINEERINGVo.l24No.2Apr.2009马赞福,郭亚军,张发明,潘玉厚(,110004):针对不同时段内被评价对象增益的不同,提出了一种基于增益水平激励的动态综合评价方法.首先依据时序立体数据表中的信息,求出被评价对象的优劣增益水平;然后在此基础上通过反推的方式求得被评价对象在不同时点上的优劣激励点,最后通过引入规则的方式来确定优劣激励因子,以得出最终的动态综合评价值,并进行排序.通过优劣增益水平激励的方式来进行动态综合评价,充分考虑了被评价对象的动态发展水平,能够对被评价对象的发展起一个激励和引导作用.最后通过一个算例来证明方法的有效性.:;;;:C934:A:5781-1000(2009)02-0243-05MethodofdynamiccomprehensiveevaluationbasedongainlevelinspiritingMAZanfu,GUOYajun,ZHANGFaming,PANYuhou(SchoolofBusinessAdministration,NortheasternUniversity,Shenyang110004,china)Abstract:Accordingtothedifferenceoftheevaluatedobjectgainindifferentphases,thepaperproposesamethodofdynamiccomprehensiveevaluationbasedonthegainlevelinspiriting.Firstly,dependingontheinformationinthestereoscopicdatatableoftimeorder,themeritgainleveloftheevaluatedobjectsisgotten.Then,themeritinventivepointsoftheevaluatedobjectsatdifferenttimecanbeobtainedthroughtheantipushedform.Furthermore,themeritinventivefactorscanbedeterminedbycitingtherules,andthevalueofdynamiccomprehensiveevaluationareabletobego,tthenarrangei.tThedynamicdevelopmentlevelofevaluatedobjectsisconsideredfullybyadoptingtothismethod.Moreover,thismethodhasastimulatingandguidingroleinthisdevelopmen.tFinally,anumericalexamplewasgiventoillustratetheeffectivenessoftheproposedmethod.Keywords:gainleve;linspiritpoints;inspiritfactor;dynamicevaluation0,,,,[1],:2008-03-31;:2008-07-30.:(70472032)..,[2~9].,[2],,;[3],(),.,,.,,;,;!,!;,,..11.1n,m,xij(tk)i(i=1,2,∀,n)tk(k=1,2,∀,T)xj(j=1,2,∀,m),(1).1Table1Stereoscopicdatatableoftimeordert1t2∀tTx1x2∀xmx1x2∀xm∀x1x2∀xms1x11(t1)x12(t1)∀x1m(t1)x11(t2)x12(t2)∀x1m(t2)∀x11(tT)x12(tT)∀x1m(tT)s2x21(t1)x22(t1)∀x2m(t1)x21(t2)x22(t2)∀x2m(t2)∀x21(tT)x22(tT)∀x2m(tT)snxn1(t1)xn2(t1)∀xnm(t1)xn1(t2)xn2(t2)∀xnm(t2)∀xn1(tT)xn2(tT)∀xnm(tT),{xij(tk)},x1,x2,∀,xm!.:s1,s2,∀,sn,{xij(tk)},?1.2,tk(k=1,2,∀,T).yi(tk)i(i=1,2,∀,n)tk(k=1,2,∀,T),,Y=y1(t1)y1(t2)∀y1(tT)y2(t1)y2(t2)∀y2(tT)yn(t1)yn(t2)∀yn(tT)(1),.si(i=1,2,∀,n),!!v+i(tk)=y+i(tk)-yi(tk),y+i(tk)yi(tk)0,(2)v-i(tk)=yi(tk)-y-i(tk),yi(tk)y-i(tk)0,(3)v+i(tk)v-i(tk)sitk;y+i(tK),y-i(tk)sitk.t1,v+i(t1)=v-i(t1)=0.1max,min,#244#24.max=maxi(1T-1∃T-1k=1(yi(tk+1)-yi(tk)))min=mini(1T-1∃T-1k=1(yi(tk+1)-yi(tk)))=1n(T-1)∃ni=1∃T-1k=1(yi(tk+1)-yi(tk)))(4)2+,-,+=+(max-)k+-=-(-min)k-(5)k+,k-,k+,k-%(0,1].,(),(),k+,k-.+,-,+=y+i(tk)-yi(tk-1)-=y-i(tk)-yi(tk-1),(k=2,3,∀,T)(6)y+i(tk)y-i(tk).1,ta,tb,tc,v+i(ta)0v-i(tc).1Fig.1Geometryaudiovisualexpressofmeritincentivepoints,,zi(tk)itk,zi(tk)=h+v+i(tk)+yi(tk)-h-v-i(tk)(7)h+,h-(h+,h-0),h+v+i(tk)h-v-i(tk).,(2)(3),v+i(tk)v-i(tk)=0,tk(k=1,2,∀,T),h+v+i(tk)h-v-i(tk).h+,h-,.1.n,,r=h+∃ni=1∃Tk=1v+i(tk)h-∃ni=1∃Tk=1v-i(tk)(8)r(r%R+),.r1,;r1,;r=1,.2[2].h+,h-1,h++h-=1(9)r,(8)(9)h+,h-.,{tk},iTzi=∃nk=1kzi(tk)(10)k,{k}(k=ek/2N),!,,k=1.2,122000#2006.,&2000~2006∋#245#2:()()()()4..1)!,!,yi(tk),2(,);2122000#2006yi(tk)Table2Thevaluesofyi(tk)forwestern12provincesduring2000#200620002001200220032004200520063.8813.9353.6343.6143.0572.9132.6755.5525.3344.9195.3525.6945.2815.0134.2304.4744.1824.3245.0004.4574.21610.00010.00010.00010.00010.00010.00010.0002.8542.2472.3332.4212.7852.8922.9933.0153.2873.2412.9352.9762.9793.4840.0000.0000.0000.0000.0000.0000.0007.2786.8276.5416.6696.6876.5956.9012.1722.9962.7592.4592.5132.5342.2050.3850.4960.4660.4870.4960.4100.3090.7660.7260.6240.5920.7650.7950.8003.0752.8512.7092.4932.6402.6432.5362)(4),max=0469,min=-1206,=-0173;3),k+=k-=0.3,(5):+=0.020-=-0.483;4)+,-(6),yii(tk)y-i(tk)(,);5)12,(8)(9),h+=0.051,h-=0.949(,r=1);6),(10)(k=1),.3.312Table3Theinformationtableofevaluatedresultswithincentivisingforwestern12provinceszizizizi23.233570.00010.000123.0201137.073318.679747.41125.0991031.067422.238617.806918.7538:zi,k=1.,:!!!!!!!!!!!.3,,2000#2006;,;,.3,,,,#246#24.,,,,.:[1].[M].:,2007.GuoYJ.Theory,MethodologyandApplicationofSynthesisEvaluation[M].Beijing:SciencePress,2007.(inChinese)[2],,.[J].,2007,26(3):39#43.YiPT,GuoYJ,ZhangDN.Amultiphaseinformationaggregationmethodbasedondoubleinspiritingcontrollines[J].Forecasting,2007,26(3):39#43.(inChinese)[3].[J].,1992,2(3):56#62.GuoYJ.Multipleattributedecisionmakingmethodwithencouragement(orpenalty)mechanism[J].JournalofDecisionMakingandDecisionSupportSystems,1992,2(3):56#62.(inChinese)[4]HwangCL,YoonK.MultipleAttributeDecisionMaking[M].Berlin:SpringerVerlag,1981.[5],,.[J].,2004,7(2):69#79.ChenYT,ChenGH,LiMJ.Classification&researchadvancementofcomprehensiveevaluationmethods[J].JournalofManagementSciencesinChina,2004,7(2):69#79.(inChinese)[6].[J].,1999,21(7):27#29.WangJQ.Researchondevelopingdecisionmakingmethodofthedynamicmultipleattributesystem[J].SystemsEngineeringandElectronics,1999,21(7):27#29.(inChinese)[7]SungTK,ChangN,LeeG.Dynamicsofmodelingindatamining:Interpretiveapproachtobankruptcyprediction[J].JournalofManagementInformationSystems,1999,16(1):63#85.[8]XuZS,DaQL.Anoverviewofoperatorsforaggregatinginformation[J].InternationalJournalofIntelligentSystems,2003,18(9):953#969.[9].[J].,2002,5(2):49#54.GuoYJ.Newtheoryandmethodofdynamiccomprehensiveevaluation[J].JournalofManagementSciencesinChina,2002,5(2