![](/images/graphics-bg.png)
Correlated Analytic Hierarchy Process
Joint Authors
Huang, Jih-Jeng
Liu, Hsiang-Hsi
Yeh, Yeong-Yuh
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-18
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
The analytic hierarchy process (AHP) has been the most popular tool for the field of decision making in the past 30 years, because of its simplicity and rationality.
Construct a hierarchy system for evaluation by decision makers.
Hence, only the effect of outer-dependence can be considered in the AHP.
However, besides outer-dependence, correlation is another common effect between criteria which cannot be accounted for neither by the AHP nor by the analytic network process (ANP).
Hence, in this paper, we extend the AHP to consider the correlation effect.
In addition, a biobjective programming model is proposed to derive the result.
Furthermore, the traditional AHP can be considered as the special case of the proposed model when the correlation effect between criteria is ignored.
Finally, a numerical example is given to justify the proposed method and compare the result with the AHP.
American Psychological Association (APA)
Liu, Hsiang-Hsi& Yeh, Yeong-Yuh& Huang, Jih-Jeng. 2014. Correlated Analytic Hierarchy Process. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-511710
Modern Language Association (MLA)
Liu, Hsiang-Hsi…[et al.]. Correlated Analytic Hierarchy Process. Mathematical Problems in Engineering No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-511710
American Medical Association (AMA)
Liu, Hsiang-Hsi& Yeh, Yeong-Yuh& Huang, Jih-Jeng. Correlated Analytic Hierarchy Process. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-511710
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-511710