TY - GEN
T1 - Quality evaluation on diesel engine with improved TOPSIS based on information entropy
AU - Chang, Wenbing
AU - Lu, Xuefeng
AU - Zhou, Shenghan
AU - Xiao, Yiyong
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/8/3
Y1 - 2016/8/3
N2 - This paper aims to evaluate the quality of diesel engine using an improved TOPSIS method. In the past research, the quality evaluation of the diesel engine is mainly based on fuzzy evaluation. However, the data generated in the run-in process, which is the test run of the whole diesel engine, have not been fully utilized. In this paper, evaluating the quality of the diesel engine with improved TOPSIS will use the run-in data. By calculating the correlation coefficient matrix of the data, there is a correlation between the indexes, which will have an impact on the evaluation results. Thus, Mahalanobis distance is adopted. Meanwhile, the information entropy is used to determine the weights. Then, a processing method for the appropriate index is put forward. Finally, the improved TOPSIS is demonstrated effective in evaluating the quality of the diesel engine compared with the TOPSIS method based on the subjective weight. The result suggests that the improved method has better distinction degree.
AB - This paper aims to evaluate the quality of diesel engine using an improved TOPSIS method. In the past research, the quality evaluation of the diesel engine is mainly based on fuzzy evaluation. However, the data generated in the run-in process, which is the test run of the whole diesel engine, have not been fully utilized. In this paper, evaluating the quality of the diesel engine with improved TOPSIS will use the run-in data. By calculating the correlation coefficient matrix of the data, there is a correlation between the indexes, which will have an impact on the evaluation results. Thus, Mahalanobis distance is adopted. Meanwhile, the information entropy is used to determine the weights. Then, a processing method for the appropriate index is put forward. Finally, the improved TOPSIS is demonstrated effective in evaluating the quality of the diesel engine compared with the TOPSIS method based on the subjective weight. The result suggests that the improved method has better distinction degree.
KW - Diesel Engine
KW - Improved TOPSIS
KW - Information Entropy
KW - Mahalanobis Distance
KW - Quality Evaluation
UR - https://www.scopus.com/pages/publications/84983762686
U2 - 10.1109/CCDC.2016.7532165
DO - 10.1109/CCDC.2016.7532165
M3 - 会议稿件
AN - SCOPUS:84983762686
T3 - Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016
SP - 6485
EP - 6490
BT - Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 28th Chinese Control and Decision Conference, CCDC 2016
Y2 - 28 May 2016 through 30 May 2016
ER -