2020
DOI: 10.1016/j.conbuildmat.2019.117274
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Multiple-response optimization of open graded friction course reinforced with fibers through CRITIC-WASPAS based on Taguchi methodology

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Cited by 46 publications
(23 citation statements)
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“…Note that the eigenvalues of the first principal components are greater than 1, and the second principal component (PC2) was found close to unity and the resulted explained variation of the corresponding principal components is less than 50% of the total explained variation (100%) (refer to Table 11). Since there are no standard procedures defined for the resulted eigenvalues greater than one for one response and close to unity for the other response (i.e., principal components) and less explained variations, authors followed the said literature [61][62][63][64][65][66]. Table 11 presents the eigenvectors calculated based on the eigenvalues.…”
Section: Principal Component Analysismentioning
confidence: 99%
“…Note that the eigenvalues of the first principal components are greater than 1, and the second principal component (PC2) was found close to unity and the resulted explained variation of the corresponding principal components is less than 50% of the total explained variation (100%) (refer to Table 11). Since there are no standard procedures defined for the resulted eigenvalues greater than one for one response and close to unity for the other response (i.e., principal components) and less explained variations, authors followed the said literature [61][62][63][64][65][66]. Table 11 presents the eigenvectors calculated based on the eigenvalues.…”
Section: Principal Component Analysismentioning
confidence: 99%
“…As multiple data set were obtained due to the large number of experiments performed, this approach is considered appropriate for the allocation of weights. Further details about the steps and equations used for criteria elicitation according to the CRITIC method can be consulted in the following references: (Diakoulaki et al 1995, Slebi-acevedo et al 2020b).…”
Section: Critic Methodsmentioning
confidence: 99%
“…Similar than TOPSIS technique, higher values of JPS indicate a better performance as a unified index. The steps involved in solving multi-objective decision-making problem through WASPAS approach are explained in more detail in (Chakraborty et al 2015, Keshavarz Ghorabaee et al 2015, Slebi-acevedo et al 2020b).…”
Section: Waspas Methodsmentioning
confidence: 99%
“…Multi-criteria decision-making (MCDM) methods help to identify the most promising alternatives contained in a set of alternatives based on previously established criteria [52]. Multiple MCDMA-Simple Additive Weighting (SAW), Weighted Product model (WPM), ELimination and Choice Expressing REality (ELECTRE), Gray Relational Analysis (GRA), Technique of Ordering Preferences by Similarity to Ideal solution (TOPSIS), Weighted Aggregated Sum Product Assessment (WASPAS), multi-criteria optimization and compromise solution (VIKOR), and Distance from Average Solution (EDAS)-have been applied in diverse fields such as material selection, military location, service quality, construction, and manufacturing processes [53][54][55][56][57][58][59]. However, limited literature has been found applying these techniques in combination with the DOE approach.…”
Section: Multi-criteria Decision-making Analysis (Mcdma)mentioning
confidence: 99%