最近本人在学习DEA，找到了一个deatoolbox，但是在使用deamalmluen这个命令进行求解时，出现了如下情况：
- Warning: DMU 11. First Step. Optimization exit flag: -2
- > In deaund (line 197)
- In deamalmluen (line 111)
- In forum (line 141)
- Warning: DMU 11. First Step. Optimization doesn't return a result in
- First Step. Efficiency set to NaN.
- > In deaund (line 202)
- In deamalmluen (line 111)
- In forum (line 141)
- Warning: DMU 15. First Step. Optimization exit flag: -2
- > In deaund (line 197)
- In deamalmluen (line 111)
- In forum (line 141)
- Warning: DMU 15. First Step. Optimization doesn't return a result in
- First Step. Efficiency set to NaN.
- > In deaund (line 202)
- In deamalmluen (line 111)
- In forum (line 141)
请问这种情况应该如何解决？
数据和代码如下：
- x(:,:,1)=[20933 276 18611
- 38338 34801 38298
- 155978 173429 143098
- 17300 641 8204
- 108236 1941 14829
- 531024 575562 486604
- 191323 10146 42640
- 374585 17268 156399
- 45448 153832 43725
- 779585 1060621 1289362
- 332572 2315180 826248
- 574660 214837 566399
- 239210 689488 862193
- 358536 61993 698899
- 620604 827028 1001372
- 200289 6611 373456
- 665667 117225 948715
- 431867 54937 1131910
- 595328 876453 1371681
- 254382 279452 637803
- 62179 244777 240323
- 68560 11176 505511
- 183936 8382 1229134];
- y(:,:,1)=[37763.39063
- 67743.78906
- 174187.5938
- 8030.772949
- 14907.68164
- 951548.875
- 27373.375
- 110279.0078
- 118164.5781
- 1323135.125
- 1755794.125
- 393147.0313
- 1784757
- 369612.0313
- 2286594.5
- 116007.2969
- 518146.125
- 257510.375
- 1802576.5
- 334858.2188
- 286889.2188
- 22058.81055
- 8982.219727];
- yu(:,:,1)=[23744.24414
- 61913.15234
- 136914.2969
- 5186.003906
- 13981.53613
- 550892.4375
- 15922.27051
- 85320.26563
- 112180.0781
- 860442.1875
- 807219.9375
- 322136.3125
- 837553.6875
- 305820.1563
- 857084.5625
- 57816.04688
- 423289.0313
- 248024.3906
- 1046380.688
- 277902.9063
- 47799.63672
- 10660.13184
- 7462.730957];
- x(:,:,2)=[20049 232 17872
- 40389 33846 38338
- 158027 166090 163585
- 18130 726 7629
- 110797 1908 17600
- 560317 576557 493222
- 189612 7642 41589
- 379763 16202 150279
- 42543 152175 43211
- 800246 1102210 1261832
- 323363 2213101 794522
- 589133 224480 585088
- 247793 710336 871298
- 363831 64289 712713
- 667115 788455 1028134
- 203726 7341 383755
- 671462 112748 988551
- 453585 46773 900686
- 599003 854607 1401403
- 259411 283627 636203
- 63517 261647 237353
- 29523 2168 39198
- 64711 1605 13935];
- y(:,:,2)=[35187.14453
- 77367.70313
- 208592.3594
- 8699.649414
- 14714.12891
- 1097135.125
- 27209.96094
- 119441.4219
- 134439.4531
- 1599358.5
- 1914448.25
- 440216.9688
- 1899217.25
- 679891.8125
- 2493645
- 125093.8984
- 606324.5
- 279395.7813
- 1799590.875
- 361206.2188
- 62733.65625
- 23071.30273
- 12637.12109];
- yu(:,:,2) = [33742.45703
- 85424.78125
- 244769.6094
- 9342.887695
- 18307.11133
- 1221806
- 29398.92188
- 117318.5313
- 136693.9688
- 1671097.875
- 2089436.875
- 161083.8438
- 682680.1875
- 316933.1875
- 2194546
- 388743.9688
- 357223.9375
- 79161.20313
- 298215.0938
- 24558.83594
- 83439.00781
- 23664.6543
- 15048.27539];
- ml = deamalmluen(x, y, yu);
- deadisp(ml);
deamalmluen的语法如下：
- deamalmluen Data envelopment analysis Malmquist-Luenberger indices
- Computes data envelopment analysis Malmquist-Luenberger indices
- out = deamalmluen(X, Y, Yu, Name, Value) computes data envelopment
- analysis Malmquist-Luenberger indices with inputs X and outputs Y.
- Model properties are specified using one or more Name ,Value pair
- arguments.
- Additional properties:
- - 'names': DMU names.
- - 'orient': orientation. Directional distane function with undesirable
- outputs 'ddf' (Aparicio, Pastor and Zofio, 2013), default. Directional
- distance function with undesirable outputs 'ddf_ccf' (Chung, Fare and
- Grosskopf).
- - 'fixbaset': previous year 0 (default), first year 1.
- - 'geomean': compute geometric mean for technological change. Default
- is 1.
- Example
- malmluen = deamalmluen(X, Y, Yu);
- malmluenfixed = deamalmluen(X, Y, Yu, 'fixbaset', 1);
附件中为工具箱
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