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Preference restraint cone data envelopment analysis model is recommended and extended to interval number case. A mew model for project selecting has been established based on preference restraint cone data envelopment analysis model and interval data envelopment analysis. The approach is illustrated by an example. It is shown that the introduced model is convenient for integrates decision-maker's...
To help clinicians diagnose Heart failure (HF) at the early stage, this study proposes a scoring model based on support vector machine (SVM). Missing data in clinic are imputed by employing Bayesian principal component analysis. According to the evaluation of cardiac dysfunction, samples are classified into three groups: the healthy group (without cardiac dysfunction), the HF-prone group (in asymptomatic...
Grey model and support vector machine are fit for prediction in the small size of data, their advantages and disadvantages are probed in this paper at first. And then, the combined model is proposed, which combines grey model and support vector machine with optimal weights. The weights are obtained and optimized by minimizing the sum of squared residuals standard. Some experiments compared with grey...
To make accurate appraisal of the competitiveness of construction enterprises, DEA model is adopted and extended. The integrated competitiveness and state of returns to scale were analyzed. The inefficient DMUs were diagnosed and optimized by changing the index and using projection analysis and the efficient DMUs were discriminated by super efficiency and sensitivity analysis. Then, forecast about...
Heart failure is simulated using a cardiovascular system model with embedded autonomic nervous regulation and renal blood volume adjustment. The main cardiovascular parameters under heart failure are set as reducing the left ventricular myocardial maximum elasticity by 50%, increasing sympathetic nerve activity by 20% and decreasing vagus nerve activity by 80%, increasing peripheral resistance by...
Analyzing the characteristics of wood biomass gasification process comprehensively and considering the impact of gasification temperature as well as the amount of catalyst on gasification gas components, gas yield, gas production rate, the calorific value and gasification efficiency, sawdust gasification process model based on LSSVM (least squares support vector machine) was set up. Based on this...
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