Journals Information
									Computer Science and Information Technology Vol. 4(1), pp. 15 - 20 
DOI: 10.13189/csit.2016.040103 
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Multi-attribute Decision-making Model of Grey Target for Information System Evaluation
								Sha Fu  *,  Guang Sun  ,  Yezhi Xiao  
Department of Information Management, Hunan University of Finance and Economics, China
							
ABSTRACT
A kind of multi-attribute grey-target decision model base on positive-negative target center is put forward aimed at the complexity and uncertainty of the actual decision environment. Firstly, the optimal effect vector and the worst effect vector of the grey-target decision are respectively defined as the positive and negative clouts; secondly, the spatial projection distance between the positive and negative clouts shall be comprehensively considered, and the off-target distance is the basis of the vector analysis for space and then a new comprehensive target-eyes distance shall be acquired; then, build the goal programming model for objective function in accordance with comprehensive target-eyes distance, and make solution by that to get the index weight. At last, verify the feasibility and validity of the proposed grey-target decision model by the optional instance analysis of information system.
KEYWORDS
					         
Multi-attribute, Positive and Negative Clouts, Grey Target Decision, Comprehensive Target-eyes Distance, Index Weight, Goal Programming
Cite This Paper in IEEE or APA Citation Styles
								(a). IEEE Format: 
					         [1] Sha Fu     , Guang Sun     , Yezhi Xiao     , "Multi-attribute Decision-making Model of Grey Target for Information System Evaluation,"  Computer Science and Information Technology, Vol. 4, No. 1, pp. 15 - 20,  2016. DOI: 10.13189/csit.2016.040103. 
					       (b). APA Format: 
					         Sha Fu     , Guang Sun     , Yezhi Xiao      (2016). Multi-attribute Decision-making Model of Grey Target for Information System Evaluation. Computer Science and Information Technology, 4(1), 15 - 20. DOI: 10.13189/csit.2016.040103.