文章詳目資料

International Journal of Uncertainty and Innovation Research

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篇名 The Weighting of Sub-System Analysis in Flight Training Simulator via TOPSIS
卷期 2:1
作者 Kai-Ting LuJyun-Ping Chang
頁次 037-046
關鍵字 Technique for order preference by similarity to ideal solutionWeighting analysisflight training simulator
出刊日期 202004

中文摘要

英文摘要

The technique for order preference by similarity to ideal solution (TOPSIS) is one of the most important methods of weighting analysis. A discerning observation of the procedure reveals that the calculation step is subjectively postulated, that means the different applied weightings can result in a different output. This uncertainty is undesirable; thus, the paper uses a technique for order preference by similarity to calculate the rational result for the system. And the model was tested using a data set of flight training simulator. The final result provides the most precise weighting for the system, and enhance the application of the technique for TOPSIS.

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