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INTERDISCIPLINARY JOURNAL OF CONTEMPORARY RESEARCH IN BUSINESS<br />

Type of University<br />

Table 4. General framework of the studying data<br />

DMU<br />

Students {I}<br />

State University F1 396 28 1700 52 107 14.58<br />

Teachers {I}<br />

Space {I}<br />

Graduates {O}<br />

Researches {O}<br />

Average {O}<br />

F2 471 0 720 63 0 12.07<br />

F3 531 0 841 98 0 13.41<br />

F4 645 0 620 125 0 13.58<br />

F5 465 3 711 73 0 13.62<br />

F6 517 0 660 81 0 12.11<br />

F7 360 0 420 48 0 12.33<br />

JUNE 2011<br />

VOL 3, NO 2<br />

Payame noor<br />

Universities<br />

F8 272 0 444 33 0 13.49<br />

F9 276 0 320 38 0 12.54<br />

F10 370 3 512 59 0 12.27<br />

F11 232 3 400 41 0 12.48<br />

F12 562 0 610 86 0 12.13<br />

F13 442 0 640 62 0 12.18<br />

F14 536 3 650 73 0 12.66<br />

F15 408 0 764 63 0 12.62<br />

F16 226 0 300 35 0 12.26<br />

Azad Universities<br />

Non profit<br />

Universities<br />

F17 597 19 850 90 23 12.26<br />

F18 759 23 1450 133 34 12.14<br />

F19 620 21 1150 116 49 13.01<br />

F20 382 8 860 87 0 13.7<br />

Data standardization<br />

Given that change range of the applied variables (inputs and outputs) in the present<br />

research has fluctuations they are standardized hourly in order to create homogeneity and<br />

comparability. It means that the existent variables in each column are divided by the largest<br />

number in that column and so all variables are settled in the limit (0-1). Table (5) shows<br />

standardization form of data.<br />

COPY RIGHT © 2011 Institute of Interdisciplinary Business Research 926

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