DocumentCode :
232492
Title :
A synthetic evaluation method based on the Grey Analytic Hierarchy Model
Author :
Sun Xiangyu ; Chao Tao ; Wang Songyan ; Yang Ming
Author_Institution :
Control & Simulation Centre, Harbin Inst. of Technol., Harbin, China
fYear :
2014
fDate :
28-30 July 2014
Firstpage :
6406
Lastpage :
6411
Abstract :
Analytic Hierarchy Process (AHP) is the main method to process judgment without fixed structure, but there are two problems in the application. Consistency calculation of judging matrixes is complex and evaluation information from the experts is not objective. This paper proposes a new synthetic evaluation method based on Grey Analytic Hierarchy Model (GAHM) to solve above problems. Indexes weight vectors is obtained by the process of judging relative weight between any two of indexes using Analytic Hierarchy Model method(AHM), then the grey weight matrixes can be obtained referring the index evaluation information from experts using grey evaluation method. The final evaluation result is obtained by mapping synthesizing result of relative property weight vectors and grey weight matrixes to scoring range. The proposed method is effective by testing and verifying practical example. The main priorities are that evaluation process become more objective and calculating process is quicker. There is much application value to use the method.
Keywords :
analytic hierarchy process; grey systems; matrix algebra; GAHM; analytic hierarchy process; consistency judgment process; grey analytic hierarchy model; grey evaluation method; grey weight matrix; index evaluation; indexes weight vector; relative property weight vectors; relative weight judging process; synthetic evaluation method; Analytical models; Control systems; Indexes; Stability criteria; Vectors; Vehicles; Analytic Hierarchy Model; Grey Evaluation Method; Synthetic Evaluation Method;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
Type :
conf
DOI :
10.1109/ChiCC.2014.6896044
Filename :
6896044
Link To Document :
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