Proceedings of the 2010 International Conference on Mechanical, Industrial, and Manufacturing Technologies (MIMT 2010)
48 Improved Partial Least Squares Regression with Rough Set and Its Applications in the Modeling of LCC
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Establish the precise cost model is one of the most important content of Life Cycle Cost (LCC). In order to find out the important factors in the modeling of LCC, and reduce the correlativity between the factors that affect the cost model, the method of improved Partial Least Squares (PLS) regression with Rough Set was proposed to enhance the calculation precision of the LCC modeling. The attributes of the data were reduced, redundant information were deleted, and then to PLS regression. The deficiency of the PLS regression were improved by this method. Compared with the method of PLS regression, the precision of improved PLS regression model with Rough Set was higher and its application was quite comprehensive.