Research on model-based rubber formula decision

Author(s): Han Li-Na

In order to cope with ambiguity and uncertainty in rubber formula decision, the author, by making use of 13 groups of rubber formula test data, firstly establishes a multivariant linear regression model involving relations of raw materials and their performances; and further establishes a multi-objective programming model of priority level by taking into consideration the regression coefficients obtained from the former model and the target constraint requirements, and then employs appropriate weights to this multi-objective programming model. This research on rubber formula decision reveals the feasibility and validity of the multivariant linear regression model and the multi-objective programming model

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