| 摘要 |
PROBLEM TO BE SOLVED: To exactly evaluate merchandise at the point of time of assessment in consideration of merchandise characteristic. SOLUTION: This system has a basic residual value rate calculation processing part 4 calculating a reference residual value rate not influenced by the assessment factor of a used car based on the sales result of the used car and data for correcting a residual value rate, a remaining value attenuation model generation processing part 6 generating a remaining value attenuation model function expressing the transition of the reference evaluation rate of each used car varying with the lapse of time since the start of sales with an expotential function and a relation model function generation processing part 8 making a relation between the coefficient of the remaining value attenuation model function and the merchandise characteristic of each used car into a model by substituting and learning the merchandise characteristic of the used car. A remaining value rate predictive processing part 10 calculates a remaining value rate in the future of a pertinent current car based on the remaining value attenuation model function of the current car. Furthermore, with respect to a new car which is not sold yet, the part 10 substitutes a coefficient, which is calculated by substituting the merchandise characteristic (evaluation point) of the new car into a relation model, to the remaining value attenuation model function to calculate the remaining value rate in the future of the new car based on the remaining value attenuation model function. |
