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