Title :
Allocation efficiency analysis of science and technology resources in enterprises based on feature selection
Author :
Dong-Mel Li ; Bin Liu ; Ying Qu
Author_Institution :
Sch. of Econ. & Manage., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
Abstract :
A new feature selection method is proposed to establish the evaluation index system for allocation efficiency of science and technology resources in large-medium industrial enterprises. The allocation efficiency for each province is computed and evaluated by using data envelopment analysis method. The status of allocation efficiency in large- medium industrial enterprises is then analyzed. The input redundant rate, output insufficient rate and ideal input-output matrix of industrial enterprises are calculated. The paper then proposes countermeasures and suggestions to raise allocation efficiency of science and technology resources in enterprises.
Keywords :
data envelopment analysis; feature selection; resource allocation; allocation efficiency analysis; data envelopment analysis method; evaluation index system; feature selection method; industrial enterprises; input redundant rate; input-output matrix; output insufficient rate; science resources; technology resources; Abstracts; Accuracy; Analytical models; Indexes; Noise measurement; Resource management; Allocation efficiency; Data envelopment analysis method; Evaluation; Feature selection; Large-medium industrial enterprises;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
Conference_Location :
Tianjin
DOI :
10.1109/ICMLC.2013.6890788
