Regional large-scale science instruments configuration efficiency evaluation method based on multi-objective optimization and fuzzy decision-making model
COMPUTER MODELLING & NEW TECHNOLOGIES 2014 18(12C) 1320-1327
Henan Institute of Education, Henan Zhengzhou 450000, China
This paper concentrates on the problem of regional large-scale science instruments configuration efficiency evaluation, which is a typical multi-objective optimization problem. As large-scale science instruments have not been utilized with high efficiency, it is of great importance to promote the efficiency of large-scale science instruments configuration. Firstly, the multi-objective particle swarm optimization model is proposed, in which three objectives are considered (such as Economic benefits, Utilization rate of equipment, and Social benefits). Exploiting the proposed multi-objective particle swarm optimization model, Pareto optimal solutions can be obtained. Secondly, a fuzzy decision-making model is provided to choose an optimal solution from the set of Pareto optimal solutions by implementing the intersection of all fuzzy criteria and the related constrains. Thirdly, to make performance evaluation, we collect the data from statistical yearbooks of ten provinces in China to construct dataset. Experimental results demonstrate that the proposed method can effectively evaluate regional large-scale science instruments configuration efficiency.