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Least squares support vector machine (LS-SVM) for nonlinear regression is sensitive to outliers in the field of machine learning. Weighted LS-SVM (WLS-SVM) overcomes this drawback by adding weight to each training sample. However, as the number of outliers increases, the accuracy of WLS-SVM may decrease. In order to improve the robustness of WLS-SVM, a new robust regression method based on WLS-SVM...
In this paper, we proposed an imprecise DEA (data envelopment analysis) model improved by analytical hierarchy process (AHP) preference cone. On the basis of traditional DEA model, we extended inputs and outputs of decision making units to interval issue, which formed imprecise DEA model. To reflect the preference of decision makers, AHP method was utilized to build the preference cone. It restricts...
The relative risk scale of bank financing products are extended nowadays, and lots of uncertain factors affects the evaluation process. In order to solve these problems, analytical network process (ANP) was utilized to estimate the risk possibility. Risk factors index system of bank financing products were built firstly. ANP considered all kinds of risk factors as well as influence among them. The...
In this paper, we proposed a multiple criteria DEA/AR (data envelopment analysis/assurance region) model with analytical hierarchy process (AHP) preference cone in multiple criteria decision making (MCDM) problems. The inputs and outputs of DMUs were extended to three types including cost- type, fixed-type and income-type, which formed multiple criteria DEA model. Benchmark DMU was established and...
In this paper, we proposed a two-stage hybrid model combined back-propagation (BP) neural networks and super-efficiency data envelopment analysis (DEA) model. It was applied to evaluate the performance of military maneuver engineering support. The indices of military maneuver engineering support were firstly built. And the CCR model was switched to super- efficiency issue. It will solve the disadvantage...
In Data envelopment analysis (DEA), the best performers are called DEA efficient and the efficiency score of a DEA efficient unit is denoted by unity. Ranking DEA efficient units is an interesting subject. This paper proposed a super-efficiency DEA model based on slack-based measure to evaluate engineering camouflage projects. A slack-based measure of DEA model was introduced, and then it was extended...
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