DocumentCode :
2243891
Title :
Comprehensive evaluation index system of county characteristic industrial cluster based on analytic hierarchy process
Author :
Kong, Hui-Zhen ; Kong, Qing-Shu
Author_Institution :
Coll. of Econ. & Manage., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
Volume :
4
fYear :
2010
fDate :
11-14 July 2010
Firstpage :
1941
Lastpage :
1946
Abstract :
Analytic hierarchy process (AHP) is one of multi criteria decision making methods. It is especially suitable for complicated decisions involving the comparison of decision elements which are difficult to quantify. This paper is mainly focused on the construction of comprehensive evaluation index system (CEIS) of county characteristic industrial cluster (CCIC) by using AHP. It first presents the construction principle of index system, the selection of indicators, the construction of index system, the determination of indicators´ directions and non-dimensionalization. Then it gives a weighting for each indicator and formulates the mathematic model of comprehensive general index based on AHP method and linearity weighted summation (LWS) model. In the end, it analyzes the effectiveness of this model through examples. The result shows that this CEIS not only can evaluate CCIC conveniently, but also is a scientific and rational model.
Keywords :
decision making; industrial economics; analytic hierarchy process; comprehensive evaluation index system; county characteristic industrial cluster; linearity weighted summation model; multicriteria decision making methods; Biological system modeling; Capacity planning; Construction industry; Economics; Indexes; Integrated circuits; Mathematical model; Analytic hierarchy process; Comprehensive evaluation index system; County characteristic industrial cluster; Linearity weighted summation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
Type :
conf
DOI :
10.1109/ICMLC.2010.5580525
Filename :
5580525
Link To Document :
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