Evaluation Methods of Multidimensional Comfort for High-speed Train Based on FANP
Abstract
Aiming at the problems of multidimensional comfort for high-speed train, on the base of systematic analysis of mutual effects among evaluation indexes, the comprehensive evaluation methods of multidimensional comfort for high-speed train based on Fuzzy-ANP have been established by fuzzy theories and network hierarchy analysis. The weight of calibrated evaluation indexes can be calculated by the hierarchy structure and judgment matrix of evaluation indexes. Meanwhile, the quantitative value of comfort indexes can be determined according to the effect on the comfort for high-speed train. The fuzzy evaluation matrix can be established and the evaluation value of comfort for high-speed train can be achieved to realize the calibration of comfort level. Though the example analysis, the effectiveness of the methods can be further proved and the strong theory support can be provided for the comfort evaluation for high-speed train.
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Indonesian Journal of Electrical Engineering and Computer Science (IJEECS)
p-ISSN: 2502-4752, e-ISSN: 2502-4760
This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).