Volume 9 Number 7 (Jul. 2014)
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JSW 2014 Vol.9(7): 1960-1968 ISSN: 1796-217X
doi: 10.4304/jsw.9.7.1960-1968

Research about Group Decision Support System for Technology Resources Allocation of Engineering Machinery Based on Information Entropy

Xuanhua Xu1, Yue Xia1, Qiufeng Wang2, Haiming Zhao3
1School of Business, Central South University, Changsha, Hunan, People’s Republic of China
2Central South University Library, Central South University,Changsha, Hunan, People’s Republic of China
3School of Mechanical and Electrical Engineering, Central South University, Changsha, Hunan, People’s Republic of China


Abstract—As allocation of engineering machinery technology resources involves many group members and the collaboration between different regional organizational systems is poor, this paper constructs a new structure of group decision support system of engineering machinery technology resources allocating based on Web Services and introduces the decision-making frame and processing flow chart in details. Also, a consensus decision-making method is proposed based on the information entropy model in order to eliminate the conflict between group members, thus obtaining more reasonable technology resources allocation scheme with high consistency. Finally in the part of application, the support system for technology resources allocation decision-making of the engineering machinery industry in Hunan province is taken as an example to verify.

Index Terms—engineering machinery, technology resources allocation, group decision support system

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Cite: Xuanhua Xu, Yue Xia, Qiufeng Wang, Haiming Zhao, "Research about Group Decision Support System for Technology Resources Allocation of Engineering Machinery Based on Information Entropy," Journal of Software vol. 9, no. 7, pp. 1960-1968, 2014.

General Information

ISSN: 1796-217X (Online)
Frequency: Monthly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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