Using linear assignment method, the multi-criteria decision making (MCDM) approach is proposed in decision-making process to rank the materials for a given engineering component with respect to several criteria.
As a part of the method the multi-criteria decision-making problem, having the structure of the mathematical programming problem, for optimized selection of design and operating parameters of the HTS is formulated.
By the so-called effective field method, the multi-fiber scattering problem is simplified to the one-fiber scattering problem, and the analytical expressions of magneto electro-elastic fields for the magneto electro-elasticare obtained in the long-wave limit.
This method calculates the "multi Relief" (mR) score for each site in the alignment.
This method utilizes the multi-body embedded-atom method (EAM) potential to characterize the interactions of metal atoms and adatoms.
One extension of this method is the Multi-Label Hierarchical Classification method (MLHC) [15], [16] where predictions are first made by SVM, independently per Gene Ontology (GO) [17] term, which are then made consistent with the GO hierarchy by using a Bayesian Network. Lee et. al. [18] combined the appealing properties of MRF and SVM methods into Kernel Logistic Regression (KLR).
Regional forecast mainly uses the comprehensive index method, the multi-factor coupling method, and microseismic method.
Compared with the traditional method, the multi-state model updating method got a similar updating result.
Local forecast mainly employs the comprehensive index method, the multi-factor coupling method, the microseismic method, and the EMR method.
The computational cost by the Greedy method, the multi-level data reduction method and the developed method, are theoretically compared.
Different from the traditional global search method, the multi-scale global search is applied in our proposed method, which can facilitate handling the images without narrow focus.
