Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.ejor.2008.01.012
Title: On modeling dynamic priorities in the analytic hierarchy process using compositional data analysis
Authors: Raharjo, H.
Xie, M. 
Brombacher, A.C. 
Keywords: Analytic hierarchy process
Compositional data
Dynamic priorities
Forecasting
Issue Date: 1-May-2009
Source: Raharjo, H., Xie, M., Brombacher, A.C. (2009-05-01). On modeling dynamic priorities in the analytic hierarchy process using compositional data analysis. European Journal of Operational Research 194 (3) : 834-846. ScholarBank@NUS Repository. https://doi.org/10.1016/j.ejor.2008.01.012
Abstract: In a rapidly changing environment, the priorities derived using the analytic hierarchy process (AHP) approach at one point in time might very likely change in the near future. Thus, in order to adapt to such ever-changing environment, it is of primary importance to be able to follow the change over time as to enable the system to respond differently and continuously over time of its operation. This paper proposes the use of a time-based compositional forecasting method, which is based on the idea of exponential smoothing, to deal with the AHP priority dynamics. The proposed method is particularly useful when there is a limited number of historical data, and might be considered to be more effective and time-efficient compared to that of multivariate time series method. It was also shown that the proposed method provides much greater adaptability in modeling the AHP priorities change over time compared to that of recently developed methods in compositional data research field. The shortcoming of Saaty's dynamic judgment approach and some limitations of the other existing methods will be discussed. Finally, to substantiate the validity of the proposed method and to give some practical insights, an illustrative case study is provided. © 2008 Elsevier B.V. All rights reserved.
Source Title: European Journal of Operational Research
URI: http://scholarbank.nus.edu.sg/handle/10635/63213
ISSN: 03772217
DOI: 10.1016/j.ejor.2008.01.012
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

16
checked on Dec 14, 2017

WEB OF SCIENCETM
Citations

18
checked on Nov 17, 2017

Page view(s)

34
checked on Dec 10, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.