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1 c Data Envelopment Analysis DEA IT DHARMA Ltd DEA-AR (Assurance Region) 1 DEA 1 1 [1] [2] 2. [2] (RF : Range factor) 47240Copyright c by ORSJ. Unauthorized reproduction of this article is prohibited.
2 RF RF RF 1 UZR (Ultimate Zone Rating) Defensive Runs Saved : DRS (1/5) 1 (1/7) 1 6 (1/10) 36 (6/7) 2 5 (1/8) 13 (2/13) 3 3 (1/6) 30 (3/7) 4 (1/7) 2 (1/4) 1 (1/19) 4 (2/21) 2 (2/19) 3 (1/21) 8 (3/19) 14 (7/21) (6/6) 24 (2/4) 1 19 (1/11) 14 (4/11) 2 7 (2/9) 7 (1/7) 3 21 (3/7) 44 (7/8) 8 (1/5) 2 (1/7) 2 (2/21) 4 (2/19) 1 (1/21) 5 (3/19) 5 (4/21) 1 (1/19) (a/b): 220 b a (DEA) DEA / / 2. / 3. / 4. / 5. / 6. / 7. / 8. / Copyright c by ORSJ. Unauthorized reproduction of this article is prohibited.41473
3 9. / x (x 0.194)/( ) DEA CCR [3] o F 1 n M 9G 1 x gh (=1): h g y jh: h j θ =max M u jy jo u jy jh G v gx gh 0 g=1 (h =1,...,n; h o ) G v gx go =1, u 2 2u j (j 2) g=1 v g 0(g =1,...,G), u j 0(j =1,...,M) 1 h o 1 3 (u 2 2 u j (j 2)) 2 1 (G =1) u jy jh 1 (h =1,...,n; h o), u j 0(j =1,...,M) v g i k S(i, k) DEA-AR SS I(i, k, j)= 1 : i k j 0: 6 6 Ce Pa 1: 2 :13 :24 :3 5: 6 :7 : A(i, j) =1: i j 0: A(i, j) S(i, k) [ DEA-AR ] I(i, k, j) k F 1 max I(i, k, j) S(i, k) i,k,j SS I(i, k, j) A(i, j) =c j; i,k c j =1(j 6),c 6 =3 3 1 I(i, k, j) =Q [Q =8,Q=9] i,k,j I(i, k, j) 1, I(i, k, j) {0, 1} k,j 4 I(i, k, j) A(i, j) =1; k i,j I(i, 6,j) A(i, j) =P [P =3,P =4] i,j 6 3 best9 DEA (DEA best9) Ce θ hih u j[j =1,...,M] i 4 h i 47442Copyright c by ORSJ. Unauthorized reproduction of this article is prohibited.
4 3 4 θ hi 2012 Ce11 best9 DEA best Ce12 best9 DEA best Pa11 best9 DEA best Pa12 best9 DEA best θ =0.611 u j[j =1,...,M] θ hh<θ hi h i θ hh>θ hi h i best9 DEA best9 θ hh>θ hi h i i h DEA best9 () Ce11 Ce DEA best9 Pa11 Pa best9 DEA best9 best DEA best best9 5 6 DEA 2011 best DEA best9 (u 2 2u j (j 2)) 2 best DEA best Copyright c by ORSJ. Unauthorized reproduction of this article is prohibited.43475
5 7 best9 DEAbest9 Ce11 Ce12 Pa11 Pa (62 ) DEA best DEA best DEA best DEA u j o 220 (u 2 2u j (j 2)) DEA best9 10 Pa11 Pa (a, b) u a/u b L ab U ab 2 L ab U ab DEA-AR (a, b) u a/u b L ab U ab DEA-AR M 47644Copyright c by ORSJ. Unauthorized reproduction of this article is prohibited.
6 n (DEA-AR) θ o =max M u jy jo u jy jh 1 (h =1,...,n; h o) u kl jk u j u ku jk ( j k) u j 0(j =1, 2,...,[M =9]) o θ o 3 F (1) DEA best best best (2) c 7 =1, I(i, 6,j) A(i, j) =4, I(i, k, j) =9 i,j i,k,j DEA best DEA best9 best [243] 2012 [252] (3) 108 (6) (6) 157 (5)* 75 2 (2)* 15 (6) (6) 184 (6)* 68 (1) 216 (3) 239 (6) 238 (1) 248 (4)* 54 (2) 231 (5)* 35 (4) 112 * 3 best9 () [] 10 DEA best9 best [207] 2012 [204] (6)* 3 (6)* 14 1 (3)* 26 (4) (2) 175 (6)* 5 3 (4) 142 (3)* 34 (6) 187 (6) 201 (6) 194 (6) 192 (1)* 7 (5) 101 (6) 129 (2)* 27 (5)* (1)* 54 + * 3 best 9 () [] best9 3 1 best9 best9 best DEA best9 best (DEA best9) (1) Copyright c by ORSJ. Unauthorized reproduction of this article is prohibited.45477
7 11 best9 SS0 3 3DEA 5, 6 8 9, 10 Ce Ce Pa Pa (2) (3) (4) (1) (2) DEA best9 best9 (4) SS 220 best9 SS best9 best UZR DRS [1] T. Ueda and H. Amatatsu, Determination of bounds in DEA assurance region method: Its application to evaluation of baseball players and chemical companies, Journal of the Operations Research Society of Japan, 52, , [2] [3] DEA Ce (5/6) RF DEA-AR (a, b) 47846Copyright c by ORSJ. Unauthorized reproduction of this article is prohibited.
8 1 (a/b) Ce11 32 (5/6) 29 (7/7) 37 (4/6) 45 (1/5) 44 (5/6) 6 (6/20) 7 (7/20) 10 (10/20) 19 (2/6) 21 (1/7) 14 (3/6) 3 (3/5) 6 (1/6) 42 (12/20) 45 (15/20) 40 (10/20) 11 (3/6) 17 (4/7) 32 (4/6) 15 (1/5) 27 (2/6) 30 (12/20) 33 (14/20) 31 (13/20) 27 (1/6) 20 (7/7) 9 (3/6) 19 (1/5) 4 (4/6) 39 (10/20) 43 (14/20) 42 (13/20) RF 14 (5/6) 1 (1/7) 22 (6/6) 30 (4/5) 25 (6/6) 29 (1/20) 35 (5/20) 32 (2/20) (2/6) Ce12 34 (4/9) 30 (6/7) 41 (1/8) 60 (6/8) 56 (7/7) 17 (16/24) 19 (18/24) 13 (13/24) 28 (5/9) 32 (2/7) 23 (8/8) 3 (3/8) 7 (1/7) 47 (8/24) 44 (5/24) 51 (12/24) 9 (1/9) 21 (5/7) 14 (2/8) 49 (2/8) 20 (1/7) 42 (16/24) 31 (12/24) 36 (14/24) 32 (2/9) 16 (2/7) 7 (2/8) 23 (2/8) 1 (1/7) 43 (5/24) 37 (1/24) 47 (8/24) RF 11 (5/9) 1 (1/7) 12 (1/8) 35 (3/8) 23 (3/7) 34 (1/24) 45 (7/24) 37 (2/24) (6/9) Pa11 21 (1/9) 18 (2/7) 41 (3/7) 55 (4/6) 47 (2/6) 6 (6/22) 20 (18/22) 9 (9/22) 32 (8/9) 36 (6/7) 17 (5/7) 1 (1/6) 10 (4/6) 48 (13/22) 40 (5/22) 45 (10/22) 1 (1/9) 10 (1/7) 22 (1/7) 52 (2/6) 40 (2/6) 1 (1/22) 48 (22/22) 1 (1/22) 40 (7/9) 13 (1/7) 7 (3/7) 17 (1/6) 1 (1/6) 49 (15/22) 48 (14/22) 34 (5/22) RF 9 (3/9) 5 (5/7) 17 (3/7) 30 (1/6) 21 (1/6) 31 (1/22) 37 (3/22) 40 (6/22) (3/9) Pa12 34 (8/9) 19 (2/6) 36 (1/5) 50 (3/5) 40 (1/7) 7 (7/20) 16 (16/20) 2 (2/20) 19 (2/9) 32 (5/6) 17 (5/5) 2 (2/5) 13 (7/7) 46 (14/20) 40 (8/20) 50 (18/20) 7 (3/9) 5 (1/6) 22 (1/5) 48 (2/5) 47 (6/7) 21 (9/20) 40 (16/20) 20 (8/20) 26 (2/9) 13 (1/6) 9 (5/5) 21 (3/5) 4 (3/7) 44 (12/20) 46 (14/20) 45 (13/20) RF 9 (3/9) 3 (3/6) 13 (1/5) 31 (3/5) 21 (2/7) 27 (2/20) 35 (5/20) 33 (4/20) (6/9) (a/b) : 60 b a u a/u b L ab U ab (m =) Copyright c by ORSJ. Unauthorized reproduction of this article is prohibited.47479
9 k t k 7 t 7 1 t k t k i j k t k i j f ij =log e t k ln t k [1] N M j μ j μ N N μ j = f ij/n, μ = f ij/(nm) i=1 i=1 D B D W D T D B = μ j μ /M N D W = { f ij μ j /N }/M i=1 N D T = f ij μ /(NM) i=1 = D B + D W D T t k =10 kd B + D W C 2 D B + D W = C 2 D B D W t k v v +(s 1 s 2)=0,s 1 0, s 2 0 (A1) C(1 b) s 1 0, C b s 2 0, b {0, 1} (A2) C: (A3) (s 1 + s 2) v (A2) s 1 s 2 =0s 1 s 2b D B + D W = C 2 D B t k F 2 t k F 2 max (s 1j + s 2j)/M D B N N : μ = f ij/(nm), μ j = f ij/n i=1 i=1 μ j μ + s 1j s 2j =0; j =1, 2,...,M μ j μ = s 1j + s 2j[ (A1)] (s 1j + s 2j)/M D B =0 D B M C 2(1 b j) s 1j 0, M C 2 b j s 2j 0, b j {0, 1} [ (A2) MC 2 (A3) C ] f ij μ j + t (1) ij t (2) ij =0 f ij μ j = t (1) ij + t (2) ij N i=1 (t (1) ij + t (2) ij )/(NM) D W =0 D W t (1) ij 0, t (2) ij 0: i =1,...,N; j =1,...,M D B + D W = C 2 : ln(t k) ln(t k+1) C 0 : k =1,...,m; t m+1 =1 s 1j,s 2j,t (1) ij,t (2) ij (i =1,...,N; j =1,...,M), t k(k =1,...,m+1),D W,D B N =10, M =9, m =6, C 0 = (ln 9)/20 ln t 1 =ln9 ln t 7 =0 (ln 9)/6 C 0 k t k 4 j μ j = 10 fij/10 5 i= (t 1) 5 2 (t 2) 4 3 (t 3) Copyright c by ORSJ. Unauthorized reproduction of this article is prohibited.
10 μ 2 = {5ln(t 1)+4ln(t 2)+ln(t 3)} /10 = 2.10 μ j 1 μ j h j k t k =exp(f hj) [ln t k = f hj] t a b r ab L ab U ab 1 h 2 4 r r 24 =7.78 2/6.97 4= L 24 =0.90 U 24 =1.55 (a, b) L abu ab 0.4 (max k μ k) >μ j j (max k μ k)= = [] 0.4 L abu ab DEA-AR F 2 t k t 1 t 2 t 3 t 4 t 5 t j μ j Copyright c by ORSJ. Unauthorized reproduction of this article is prohibited.49481
11 6 1 h j exp(f hj) h 2 4 r h r Copyright c by ORSJ. Unauthorized reproduction of this article is prohibited.
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LINEAR ALGEBRA I Hiroshi SUZUKI Department of Mathematics International Christian University
LINEAR ALGEBRA I Hiroshi SUZUKI Department of Mathematics International Christian University 2002 2 2 2 2 22 2 3 3 3 3 3 4 4 5 5 6 6 7 7 8 8 9 Cramer 9 0 0 E-mail:hsuzuki@icuacjp 0 3x + y + 2z 4 x + y
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( 28) ( ) ( 28 9 22 ) 0 This ote is c 2016, 2017 by Setsuo Taiguchi. It may be used for persoal or classroom purposes, but ot for commercial purposes. i (http://www.stat.go.jp/teacher/c2epi1.htm ) = statistics
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8 pp.- 2006 * h ** *** An empirical analysis on the efficiency of the M&A among the non-financial companies based on DEA Hidetoshi KOKUBO*, Koichi MIYAZAKI**, Tomohiko TAKAHASHI*** Abstract Using DEA (Data
limit&derivative
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2010 58 1 39 59 c 2010 20 2009 11 30 2010 6 24 6 25 1 1953 12 2008 III 1. 5, 1961, 1970, 1975, 1982, 1992 12 2008 2008 226 0015 32 40 58 1 2010 III 2., 2009 3 #3.xx #3.1 #3.2 1 1953 2 1958 12 2008 1 2
D = [a, b] [c, d] D ij P ij (ξ ij, η ij ) f S(f,, {P ij }) S(f,, {P ij }) = = k m i=1 j=1 m n f(ξ ij, η ij )(x i x i 1 )(y j y j 1 ) = i=1 j
6 6.. [, b] [, d] ij P ij ξ ij, η ij f Sf,, {P ij } Sf,, {P ij } k m i j m fξ ij, η ij i i j j i j i m i j k i i j j m i i j j k i i j j kb d {P ij } lim Sf,, {P ij} kb d f, k [, b] [, d] f, d kb d 6..
20 6 4 1 4 1.1 1.................................... 4 1.1.1.................................... 4 1.1.2 1................................ 5 1.2................................... 7 1.2.1....................................
22 25 34 44 10 12 14 15 11 12 16 18 19 20 21 11 12 22 10 23 24 12 25 11 12 2611 27 11 28 10 12 29 10 30 10 31 32 10 11 12 33 10 11 12 34
22 25 34 44 10 12 14 15 11 12 16 18 19 20 21 11 12 22 10 23 24 12 25 11 12 2611 27 11 28 10 12 29 10 30 10 31 32 10 11 12 33 10 11 12 34 35 10 12 36 10 12 37 10 38 10 11 12 39 10 11 12 40 11 12 41 10 11
X G P G (X) G BG [X, BG] S 2 2 2 S 2 2 S 2 = { (x 1, x 2, x 3 ) R 3 x 2 1 + x 2 2 + x 2 3 = 1 } R 3 S 2 S 2 v x S 2 x x v(x) T x S 2 T x S 2 S 2 x T x S 2 = { ξ R 3 x ξ } R 3 T x S 2 S 2 x x T x S 2
149 (Newell [5]) Newell [5], [1], [1], [11] Li,Ryu, and Song [2], [11] Li,Ryu, and Song [2], [1] 1) 2) ( ) ( ) 3) T : 2 a : 3 a 1 :
Transactions of the Operations Research Society of Japan Vol. 58, 215, pp. 148 165 c ( 215 1 2 ; 215 9 3 ) 1) 2) :,,,,, 1. [9] 3 12 Darroch,Newell, and Morris [1] Mcneil [3] Miller [4] Newell [5, 6], [1]
1 8, : 8.1 1, 2 z = ax + by + c ax by + z c = a b +1 x y z c = 0, (0, 0, c), n = ( a, b, 1). f = n i=1 a ii x 2 i + i<j 2a ij x i x j = ( x, A x), f =
1 8, : 8.1 1, z = ax + by + c ax by + z c = a b +1 x y z c = 0, (0, 0, c), n = ( a, b, 1). f = a ii x i + i
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1....2 2....7...14 4....18 5....24 6....30 7....37 8....44...50 http://blog.garenet.com/tomo/ Copyright 2008 1. Copyright 2008 Copyright 2008 Copyright 2008 Copyright 2008 Copyright 2008 Copyright 2008
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