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