综合评价方法分类及研究进展

8 N Z E s # Z null陈衍泰, 陈国宏, 李美娟( v 5 , 350002)K 1 : 将各学科领域的综合评价方法归纳a分类,讨论了各类方法的基本原理a优缺点及适用领域,并论述了综合评价方法研究的新进展.指出目前综合评价存在的突出问题:多方法评价结论的非一致性问题;方法针对性不强;理论研究与实际应用的脱节问题.针对三个问题,提出null基于方法集的组合评价 的新思路,以探索建立一个支持一致性的I3DSS.1 o M : 综合评价; 方法分类; 研究趋势 m s | : O212.1 ! ! ! D S M : A ! ! ! c I | : 1007- 9807(2004)02- 0069- 110 ! ! 8 N 8 “ “ d S a 8 N 1. “ - N 5 v V s :B N S8 “ ; 6 B 8 N Z E . N 5 K 1 O K - Z _ ,y - % ( ) 5 , 5 N 5 . N Z E S Z4 N $ ,y N 8 N Z E h C q ,| Z , V % 4 G .2. 2. 2! 相对信息熵方法 Z M 1 1 , ! H ( i) = - nk= 1( qi , k/ qi0) k = 1, 2, (, n (2)T (2) 4 B M 1 , i V N 4 , B L ( i) , M 1 ) , K v l N Z .C 5 S W “ d a a e T ,i O | z r T . “ - 1 4 N a “ 3 g N W 5 25,26 . Z E V “ y a B y ,Q N Z4 .2. 3! “ d 8 N “ d S C q n 5 4 , 1 N Z E a s Z E71 2 ! ! ! ! ! ! ! ! ! ! ! ! ! : 8 N Z E s # Z 27 . 1 N X s “ d + w L W + M M 1 v l .n 5 , I null0 = null0( k ) ; k = 1, 2,(, n 1 nulli = nulli ( k ) ; i = 1, 2, (, m ;k = 1, 2, (, n , B B ) S X0 = x0( k ) ; k = 1, 2, (, n , xi = x i ( k ) ;i = 1, 2, (, m; k = 1, 2, (, n ,9 N S W 1 “ !i =! minmin|x0(k) - xi (k) |+ l H W M + w L M 1 4 , H I n 4 M ! V 1 30 .2. 4! ? Z E ? Z 1 9 ( ? 9 ) T _ / . :2. 4. 1! 模拟人脑工作的人工神经网络技术 1 ANN E , | 9 BP E , B t 4 l Z E , f (radialbasis function) .2. 4. 2! 模拟生物进化的遗传算法 E 3 L . E y 1 4 L . M s $ 1 a q E . 8 = 3 1 I , B I 3 1 B , 8 , , E 3 N (reproduction)a (cross_over)al M (mutation) C . B , B 5 , B “ N d P( t) , V a (fitness) f , P N . “ ? 9 / ? Z , Z E 5 v , # “ a“ N a g ? Z 8 N 31,32 .2. 5! s Z E V NC L W , % “ S H q Wi . Y V s , 1 , | Bt + y n , V M 5 ,F % . S 4 s ,Y V s M 1 “ , s M ? p ZE ,r % 5 “ 33 . s $ V “ , 1 f V U “ V M , Y V M V 0 “ 9 , p 5 M , N . s Z E V % N S i M V M 5 , 5 8 N a ) N a “ 34,35 .2. 6! 8 N Z E C L 3 , B N H , “ HW ? Z , v H W V , null H 8 V . H 8 8 N 5 , , l N null 8 N 5 36 . 5 H W M S M v “ d .C L , 6 “ d a5 r N I a 5 ( # N 37,38 .2. 7! T “ S 8 N Z E ? $ B L C - T , % N 4 Z 4 , N E M | , N “ % 5 1 . Z E :2. 7. 1! 基于目标满意度的交互式评价方法 , % Z 4 H q a 4 z 4 N $ . a 2 4 f L C % i Z E 39 , Z E % T “ S N 1 N % $ ,| z 8 C ; I n N 6 B Z L = H q ,s Y s “ S K i K “ S L ( k ) , p U( k )aX ( k ) , % 40 . Z E r 4 Z 4 H Y $ % r q ,8 C 5 S + , P % L C , 8 N B ? Z t .2. 8! s E s E ( conjointanalysis,CA) L! S % H + F 9 8 N ,7 B N .CA Z E :B B Q F Q E (trade_off );= BQ F Q E(fullprofile). C $ Z . $ Z r a 1 r N 41.2. 9! Y “ N Z EY “ o Pawlak 1982 M 4 B ) . Y “ V N + H q 1 , y e ,V % V “ ,V e % V 3 % ? 5 , i ? 5 % . . d y V 1 ) , , e , ? C G 1 “ , ?5 3 s M Y Z E . 5 “ s a E “ d a 6 5 % s , ) 4 s m 42,43 .3 ! “ 8 N Z E - N 5 8 N E s 5 , # N “ a N “ S ( S ) “ a N Z E “ a N “ ,8 N T y + F % . d N Z E F 4 C S , Y N Z 4 . N , 8 N Z C N “ X .8 “ Z E , 8 “ X ,| Z E F / i , B Z E 44,45 . “ - 1 N “ 5 ) ,# null “ .M 1 T B :3. 1! B 8 N Z E 8 N Z E (Z E ) 4 5 V null K null i M 46 .C 5 S t _ null . N b # , , % “ S O 4 . 8 N ZE V ? i Q . null “ d null z LC null r , N 3 B t “ Z E :3. 1. 1! ODM与FCE结合 o S 4 E (SWT)47,MaedaH 4 % l % 5 ZE 48 ( Z E .3. 1. 2! 非线性规划方法和模糊综合评价法结合 l y 4 S E d L ? Z 4 S E 8 N Z E ,i / N .3. 1. 3! AHP方法和FCE方法结合WangM.J.J| C L , | i r T .3. 1. 4! 模糊聚类方法 d 9 Z E “ d $ , Z % Q . l | g ?Z 8 N , | z r 8 .3. 1. 5! 灰色层次决策方法 N Q S , V s Y / % f , Y V 9 Q d 9 % 8 , 35 . Z E , F C 5 null 5 . ? s % Z E 73 2 ! ! ! ! ! ! ! ! ! ! ! ! ! : 8 N Z E s # Z ,i O ? L C null ? .3. 2! B N Z E ? Z E “ (ZE ? ) 9 / ? Z , 5 S / P % F S a a ? . “ - 1 / + 8 N Z E :3. 2. 1! 模糊人工神经网络评价方法 BP E ANN $ ? Z ,YV aL . E a agent y ZE Swarm_ a Y q “ d y Petri 49 51 ,| / Z E 8 N 5 , PZ E F 2 a ? . t Z E $ “ N a g 6 ? Z a / 5 a9 q N N 52,53 5 .S = “ - 1 T “ Z , 1 Z E E .3.2.2! 群决策支持系统的应用GDSS s T T , # “ S x r T . $ 9 ,7 o B N Z E E , E “ d a M o aw AI( ? ) 5 54 58.GDSS d 5 p ,W v N 55 57 “ d ,9 8 N B ? Z Z _ .3.3! N Z E I n H W y (Z E ) N Z E s :B N S H Y “ , “ - 59,60; = ,y H W M , H W N S 9 , Z 61.3.4 ! N N N N “ ( N 1 “ ). d N Z E $ N S “ 5 . c S N 7 E , E z N T 1 Y 62. N “ E N Z E , % c S N H , E 4 7 N B 5 . E N | N E N , L = 8 C “ X .1 E N 5 ,X T V n D 63 65.“ - Z 1 B N Z E $ .3.5! “ N r 8 N X (N “ )W v X : +o + # N s Z E ,| # M 1 8 A T7 / B N 8 66. 4 ,“ N (integratedvaluechain, IVC)8 N Z E 8 r :B Z $ Z N N Z E ; 6 B Z V N , 8 r 67,68. Z E 8 C 21 W 5 ? Z t , B X , W - . “ - 1 z V V U N “ N X .4! 8 N Z E i 5 # Z _1 8 N i 5 , D 1X V Z . V S = X D A , “ -8 N Z E i l 5 : B a Z E N d B . B , “ - 8 N Z E , t Z E V 8 N , B N ? , s E # $ N + S 8 “ Y , s 4 N Z E Y , B F P Z E N V ? i v s . 5 C L R i ( D69 B N N T ), r % E . “ 8 N Z E P z , i V Z E % N d B 5 .y N , N d B “ -8 N 5 B s % 5 . = a N .Z E s , N 5 a . N 4 a 4 a “ S “ S uY .i Z E ( a B . 4 N Z E H B 5 V I .74 5 ! ! S ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! 2004 M 4 a L = .V “ - S = D A , N Z E N “ B , 5 / B Z E , B 0 Z E r ,N 7 X . L = . . 6 , “ , N Z E , r _ v L = T , L = T 7 3 , N Z E + E , 7 t E L = T m , T w s v K . “ - T B i l , L l C 9 Y L . L i l N “ d q h n .y N V , L = 9 “ - 8 N 5 B s % 5 . % 5 ,8 N Z E V / Z F : Z E “ F N .Z E “ ? N Z E 8 . Z E “ F N Z E , N 5 / , B 5 ? 5 V N ZE “ | Z E ,i t N Z E N N , s X F E N T F V .Y VZ E “ p B r Z E F , h“ B Z E 3 “ d , 7 % Z E N d B 5 . Q ,y r 9 N “ d . + 4 ) “ d Z E V 8 “ Z E (meta_synthesis) X 70 72, k | Z E F a T X 5 / Z E 8 “ T ? T N “ d , N “ d 8 N “ a N “ S “ a N “ a N Z E “ ,# 5 / ( ? a M a E “ d a * a “ a9 ) / ) B 8 , null - - N B 8 T , V IDSS_ I3DSS M 73, P N !Y a? S a ? a + . / r I3DSS, “ - 8 N - 5 ? Z Z _ 74,75.5 ! “ d 8 N Z E X N . “ M 1 5 S ? Z , N ZE C i W 1 a 6 5 , 5 % S ? Z . N Z E X ? N L l 1 , 6 N Z E ,H N a a N 1 p 8 1 s M , ? r N T . I D :1 7 + .8 N Z E a 5 # t J. 5 S , 1998, 1(1): 75 79.WANG Zongjun. Onthemethods, problemsandresearchtrendsofcomprehensiveevaluationJ. JournalofManagementSciencesinChina, 1998, 1(1): 75 79.(in Chinese)2$ ? .8 N Z E M. : S S / , 1990. 22 26.GU Jifa. MethodsofComprehensiveEvaluationM. B