DocumentCode :
2486039
Title :
A new method to derive interval weights from an interval comparison matrix
Author :
Wei, Cuiping ; Huang, Qicheng ; Zhang, Yuzhong
Author_Institution :
Inst. of Oper. Res., Qufu Normal Univ., Rizhao
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
3491
Lastpage :
3495
Abstract :
The interval least derivation method is developed to obtain the normalized interval weights from an interval comparison matrix. The method can also be applied to a crisp matrix, an incomplete comparison matrix and can be generalized to solve the group decision-making problem. Illustrative examples are given to demonstrate the feasibility and effectiveness of the proposed method.
Keywords :
decision making; matrix algebra; crisp matrix; group decision-making problem; incomplete comparison matrix; interval comparison matrix; interval least derivation method; normalized interval weights; Automation; Decision making; Humans; Intelligent control; Linear programming; Operations research; Regression analysis; TV; Uncertainty; Vectors; Analytic hierarchy process; Interval comparison matrix; Interval weights; Multi-criteria decision making; interval least derivation method;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
Type :
conf
DOI :
10.1109/WCICA.2008.4593479
Filename :
4593479
Link To Document :
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