DocumentCode
2871613
Title
Extension decision-making model based on interval operation and its application to logistics center location planning
Author
Jing, Liu ; Haijun, Mao ; Wei, Hang
Author_Institution
Sch. of Transp., Southeast Univ., Nanjing, China
Volume
9
fYear
2010
fDate
22-24 Oct. 2010
Abstract
According to the characters of the logistics center location project evaluation, considering that the incomplete and uncertain intraval attribute information of the logistics center location evaluation can be reflected effectively by the traditional extension decision-making model, Extension decision-making model with grey interval number is proposed based on the grey system theory. At the course of constructing matter-element model, the interval number is leaded into the value of the matter-element characteristic variable, and a kind of grey interval matter-element is introduced to described uncertain fuzzy index information; The evaluation results with grey interval number are gotten by solving the model, and the ranking of decision-making scheme is performed by using possibility degree formula for comparing two interval numbers and formula for priority of complementary judgement matrix. Finally, an example about confirming the optimal location for the logistics network node shows the feasibility and effectiveness of this model.
Keywords
decision making; facilities planning; facility location; fuzzy set theory; grey systems; possibility theory; attribute information; complementary judgement matrix; extension decision-making model; grey interval number; grey system theory; interval operation; logistics center location planning; logistics center location project evaluation; logistics network; matter-element model; optimal location; possibility degree formula; uncertain fuzzy index information; Argon; Correlation; Decision making; Indexes; Logistics; Modeling; Uncertainty; Extension; decision-making model; interval operation; possibility degree; ranking of alternative;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-7235-2
Electronic_ISBN
978-1-4244-7237-6
Type
conf
DOI
10.1109/ICCASM.2010.5623057
Filename
5623057
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