Volume 6 Number 2 (Feb. 2011)
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JCP 2011 Vol.6(2): 208-215 ISSN: 1796-203X
doi: 10.4304/jcp.6.2.208-215

Comprehensive Evaluation and Selection System of Coal Distributors with Analytic Hierarchy Process and Artificial Neural Network

Junhua Tang1, 2, Jinhai Xu1, Shiwen Wan1, 2, Dan Ma3, 4
1School of Mines, China University of Mining & Technology, Xuzhou 221116, China
2Shanxi Lu'an Environmental Energy Development Co., Ltd., Changzhi 064204, China
3State Key Laboratory for Geomechanics & Deep Underground Engineering, China University of Mining & Technology, Xuzhou 221116, China
4School of Mechanics & Civil Engineering, China University of Mining & Technology, Xuzhou 221116, China


Abstract—Evaluation and selection of coal distributors is one of the most important choices that a coal manufacturer will make new market development. Sales performance and marketing strategy implementation will be directly affected by the result of decision. This paper introduces a computeraided decision support tool for qualifying potential coal distributors. Based on fast moving consumer goods, this tool, developed as an expert system, provides the user with seven dimensions and specific criteria for arriving at reasonable conclusions by Analytic Hierarchy Process, assesses the accuracy class of those evaluators of by artificial neural network, and demonstrates the comprehensive evaluation methodology for qualifying potential coal distributors. These criteria and related insights form the basis of discussion in the article.

Index Terms—coal distributor evaluation criteria; dynamic assessment; analytic hierarchy process; artificial neural network; accuracy class.

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Cite: Junhua Tang, Jinhai Xu, Shiwen Wan, Dan Ma, "Comprehensive Evaluation and Selection System of Coal Distributors with Analytic Hierarchy Process and Artificial Neural Network," Journal of Computers vol. 6, no. 2, pp. 208-215, 2011.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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