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We describe the results of DEA at Kunming University of Science and Technology (KUST) from 2000 to 2002. The DEA results were performed using custom developed software (MS-DOS version was 1997) available from our institute on request. Data include input andoutput variables; data, structure, and firm's profiles; parameter setting; and the final optimal cutting costs. There are two types of physical conditions in this result: For the first condition, in 2000, 2001, and 2002, we used 200 SMES with four inputs, six output variables, and the following parameters: twenty categories for input and output variables, thirty categories for the parameters (3 kinds of hierarchical), R1=0.1 and R2=0.3. The output variable was denoted as a piece of art. The data set is divided into eight groups, three groups for training (always with 200 samples) and five groups for testing (with 100 samples for each group. Three runs using different random sequences for training and testing. There should be not more than 1000 optimal solutions. If we select the outlier sometimes, we have to soften the constraint (change R1 or R2 from 0.1 to 0.15 or 0.2) of input or output variables. For the second condition, in 2002, we used 200 SMES with four inputs, five output variables and the following parameters: twenty categories for input and output variables, and thirty categories for parameters (3 kinds of hierarchical). The output variable was denoted as a piece of art. The data set is divided into eight groups, three groups for training (always with 200 samples) and five groups for testing (with 100 samples for each group. Three runs using different random sequences for training and testing. d2c66b5586

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