Model maturity evaluation method and device

Abstract

The invention provides a method and device for evaluating the maturity of a model. The method comprises the following steps: constructing an index system of the maturity of the model, and obtaining index data, wherein model maturity indexes in the index system comprises a construction stage index, an execution stage index, and a management stage index; determining the weight of the index in each stage; and calculating the value of the model maturity based on the index and the index weight, and evaluating the grade of the model maturity. According to the model maturity evaluation method and device provided by the invention, the development and use stages of the model are evaluated, the evolution states of the model and the system to which the model belongs can be deeply understood, rapid index data import and evaluation algorithm configuration can be provided, and conditions are provided for model evaluation personnel and field experts to rapidly and accurately evaluate the model.

Description

technical field [0001] The invention belongs to the field of modeling and simulation, and relates to a new model evaluation dimension and method. At the same time, a configurable model maturity evaluation device is constructed through the method, which can provide fast data import and fast calculation of model maturity results. Background technique [0002] The evaluation / assessment of the model can be carried out from different dimensions or perspectives, such as confidence / credibility, fidelity, etc. However, these evaluation dimensions are often evaluated for the modeling stage of the model, and mainly focus on the static, fixed state or performance of the model in a specific period or condition, and do not reflect the changes in the model over time and the number of uses. The change of the model does not reflect the change of the evolution state of the system. Currently, no research has provided relevant indicators or methods for the evaluation of the model in the use st...

AI Technical Summary

Problems solved by technology

However, these evaluation dimensions are often evaluated for the modeling stage of the model, and mainly focus on the static, fixed state or performance of the model in a specific period or condition, and do not reflect the changes in the model over time and the number of uses. Changes in the situation do not reflect changes in the evolution of the system, and there is currently no research on the evaluation of the model in the use stage to provide relevant indicators or methods

However, for complex system simulations such as SoS (system of systems), these dimensions cannot completely and correctly reflect the emergence of the system and the state and credibility of the model after evolution.

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