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Application of Multi-Attribute Weighted Gray Target Decision in Automobile Noise Reduction Scheme Evaluation

Published July 3, 2019 by SAE International in United States
Application of Multi-Attribute Weighted Gray Target Decision in Automobile Noise Reduction Scheme Evaluation
Sector:
Citation: Zhao, Z., "Application of Multi-Attribute Weighted Gray Target Decision in Automobile Noise Reduction Scheme Evaluation," SAE Int. J. Commer. Veh. 12(3):173-178, 2019, https://doi.org/10.4271/02-12-03-0014.
Language: English

Abstract:

In the selection of automobile noise reduction schemes, the lack of comprehensive quantitative index system and objective evaluation method is a serious problem. In this article, the methods of analytic hierarchy process (AHP) and gray target decision were used to solve the problem. Firstly, AHP and gray target decision method were introduced respectively in detail. Secondly, three automobile noise reduction schemes were illustrated. Four types of data were selected as the decision indexes, and the weight coefficients of all the decision indexes were calculated using the AHP. Then multi-attribute mixed weighted gray target decision model was established. The optimum scheme was obtained by the calculation of the off-target distance and the sorting of the calculation results. The proposed method can quantify the evaluation process and overcome the disadvantages of the traditional analogy method. The example shows that the method is feasible.