The importance of the rule of simulation at a conceptual design stage is pointed out recently. The methodology using multi-objective design optimization and data mining, which is called MODE (Multi-Objective Design Exploration), is helpful to find out design knowledge. In this study, we show that the design knowledge found by MODE is fruitful for decision making at a conceptual design stage of real world example i.e. contour design of a fuel efficient tire. Our procedure of MODE consists of nonlinear FEA to predict tire performance, evolutional computation to get desirable solutions including Pareto solution, and data mining to find out design knowledge. SOM (Self-Organizing Map) and decision tree are used to obtain appropriate design variables and their threshold.
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