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

Volume

03

fYear

2013

fDate

14-17 July 2013

Firstpage

1296

Lastpage

1301

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics (ICMLC), 2013 International Conference on

Conference_Location

Tianjin

Type

conf

DOI

10.1109/ICMLC.2013.6890788

Filename

6890788