DocumentCode :
3264524
Title :
Application of Genetic Algorithms in Ranking Method of Judgment Matrix
Author :
Zhengang, Ning ; Jing, Chi ; Yanfen, Gao
Author_Institution :
Sch. of Inf. & Electron. Eng., Hebei Univ. of Eng., Handan, China
Volume :
2
fYear :
2009
fDate :
6-7 June 2009
Firstpage :
115
Lastpage :
117
Abstract :
According to the property that the ratio of corresponding elements is a constant in any two rows of consistency matrix, the indirect judgment information of the judgment matrix is comprehensively used to construct a constrained programming model in order to determine the ranking weight of judgment matrix. And the Genetic Algorithms is used to solve the model. Finally, an example is given to demonstrate this method. The results showed that weight dispersion got by this method is higher, and it is also much easier to identify the optimal plan.
Keywords :
constraint handling; genetic algorithms; matrix algebra; consistency matrix; constrained programming model; genetic algorithms; judgment matrix; ranking method; weight dispersion; Algorithm design and analysis; Computational intelligence; Computer applications; Decision making; Decoding; Genetic algorithms; Genetic engineering; Genetic mutations; Military computing; Psychology; analytic hierarchy process; consistency; genetic algorithms; judgment matrix; ranking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3645-3
Type :
conf
DOI :
10.1109/CINC.2009.200
Filename :
5231025
Link To Document :
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