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Manufacturing the Future 2012 Part 13

Tham khảo tài liệu 'manufacturing the future 2012 part 13', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | Applying a Hybrid Data Mining Approach in Machining Operation for Surface. 591 Figure 2. Conceptual framework of the hybrid data mining approach to prediction problem Object No. F1 F2 F3 F4 F5 F6 F7 O Weight fi 1 3 1 0 1 2 0 2 2 100 2 3 0 1 2 1 0 3 0 100 3 0 1 2 2 1 0 1 2 62 4 0 1 1 1 2 0 1 1 38 5 1 2 2 0 2 1 0 1 92 6 2 2 0 0 2 1 1 1 54 7 1 0 0 1 3 0 1 2 54 8 3 2 1 1 2 1 1 1 69 Weight Wj 80 100 90 60 70 60 90 Table 3. Data set with un-equal weight for object and feature 592 Manufacturing the Future Concepts Technologies Visions The RI Algorithm Step 0. i List the auxiliary matrix. ii Compare the reducts rows of matrix aij . Select the features used in only single feature reducts of the object s . iii List the number of known value for each column in aij . Select the potential features used base on the higher number of known value refer the results from ii . iv Set iteration number k 1. Step 1. Compare those reducts rows of matrix aij k for one specific case at a time. Select the reducts from the potential features used and based on the auxiliary matrix. If more than one solution for the reduct selection then select the reduct which can be merged by most of objects otherwise select the reducts which are most frequently selected from previous iterations. Draw a horizontal line hi through each row of matrix aij k corresponding to these reducts. Step 2. For each column in aij k corresponding to an entry of feature which is not x single crossed by any of the horizontal lines hi draw a vertical line vj. Step 3. Repeat steps 1 and 2 until one reduct has been selected for each object in the current outcome. All double-crossed entries of features of the matrix form the rules. Step 4. If all objects have been concerned in the current outcome transform the incidence matrix aij k into aij k 1 by removing all the rows and corresponding to an entry of feature which is not x included in the current outcome. Step 5. If matrix aij k 1 where denotes a matrix with all elements equal