2020
DOI: 10.1016/j.tre.2020.101858
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Efficiency of the rail sections in Brazilian railway system, using TOPSIS and a genetic algorithm to analyse optimized scenarios

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Cited by 29 publications
(10 citation statements)
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“…The basic idea is to select an optimal value and a worst value in the sample for each index, and construct a positive ideal solution and a negative ideal solution that do not actually exist. Taking these two solutions as the reference system, for each sample, the TOPSIS method respectively calculates its distances to the positive ideal solution and the negative ideal solution, and obtains the evaluation score based on the degree of proximity [64,65]. However, the traditional TOPSIS method uses the Euclidean distance when calculating the degree of proximity of the sample to the positive and negative ideal solutions.…”
Section: Comprehensive Evaluation Modelmentioning
confidence: 99%
“…The basic idea is to select an optimal value and a worst value in the sample for each index, and construct a positive ideal solution and a negative ideal solution that do not actually exist. Taking these two solutions as the reference system, for each sample, the TOPSIS method respectively calculates its distances to the positive ideal solution and the negative ideal solution, and obtains the evaluation score based on the degree of proximity [64,65]. However, the traditional TOPSIS method uses the Euclidean distance when calculating the degree of proximity of the sample to the positive and negative ideal solutions.…”
Section: Comprehensive Evaluation Modelmentioning
confidence: 99%
“…4. Topsis Method TOPSIS method developed by Hwang and Yoon in 1981 is a multi-criteria decision-making technique based on the idea of the shortest distance to the positive-ideal solution and the farthest distance to the negative-ideal solution (Marchetti and Wanke, 2020). The first step of this method is the preparation of the decision matrix.…”
Section: Normalization Of Pairwise Comparison Matrixmentioning
confidence: 99%
“…The steps of the Topsis method are listed as follows (Marchetti and Wanke, 2020;Chen, 2019;Dutta et al, 2019;Bertolini et al 2020;Ramya and Devadas, 2019;Chakravarthi et al, 2020;Bathrinath et al, 2020;De Farias and Ferreira, 2019) Particularly wj: The weight of each j criterion, relative weight values of the normalized decision matrix elements based on purpose found towards importance given to the criteria. Then, the elements in each column of the matrix r given in the equality number 2 are multiplied by the corresponding wij value given in the equality number 3 and the matrix V shown in the equality number 4 is created.…”
Section: Normalization Of Pairwise Comparison Matrixmentioning
confidence: 99%
“…Combine the bulk cargo price prediction model with neural network algorithms to improve railway freight volume prediction speed and accuracy [12]. ey also combined the TOPSIS method to analyze the efficiency of bulk cargo transport in the Brazilian railway system, proposed some methods for optimizing the rail transport of bulk cargoes, and improved rail freight efficiency [13]. However, researchers' research on bulk cargoes mostly focuses on water transport, and the research on rail transport of bulk cargoes needs further innovation.…”
Section: Literature Reviewmentioning
confidence: 99%