DocumentCode :
2809537
Title :
Characteristics-AHP model to determining attribute weights based on topsis
Author :
Gang, Li ; Xiang-Min, Huang ; Hui-Juan, Han
Author_Institution :
Dept. of Math. & Inf. Sci., Zhengzhou Univ. of Light Ind., Zhengzhou, China
Volume :
7
fYear :
2010
fDate :
22-24 Oct. 2010
Abstract :
The Characteristics-Analytic Hierarch Process model to determining attribute weights based on Topsis is built.This model makes fully use of Analytic Hierarch Process that has hierarchical structure and clear thinking, and uses AHP inversion methods to determine the weights of decision maker´s preference. The model based on Topsis is used to selecting the characteristics group of AHP, which defines the distinctive characteristics of individual decision-making unit through the close degree and makes the determining the characteristics group has full objective basis. Thus, the subjectivity in this process has been avoided and the contradictions by more multi-index attribute to be overcome. Empirical practice and simulation analysis on evaluation of student learning show the advantage and applicability of this model on relative fields.
Keywords :
decision theory; AHP inversion methods; attribute weights determination; characteristics analytic hierarch process model; student learning; topsis; Equations; Mathematical model; Matrix converters; Characteristics-Analytic Hierarch Process(CAHP); Topsis; characteristics group; mathematical model; weights of attributes;
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.2010.5619045
Filename :
5619045
Link To Document :
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