2012
DOI: 10.1016/j.dss.2012.04.015
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An approach to AHP decision in a dynamic context

Abstract: Abstract. AHP (analytic hierarchy process) is used to construct coherent aggregate results from preference data provided by decision makers. Pairwise comparison, used by AHP, shares a common weakness with other input formats used to represent user preferences, namely, that the input mode is static. In other words, users must provide all the preference data at the same time, and the criteria must be completely defined from the start. To overcome this weakness, we propose a framework that allows users to provide… Show more

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Cited by 48 publications
(35 citation statements)
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“…Given the great simplicity of the proposed formula, involving only sums, computational efficiency is guaranteed and integration in any AHP-based DSS is straightforward and of great interest. Finally, various applications of the Linearization Method (see, for example, [15,16]) can also benefit in a straightforward way from the obtained simplicity.…”
Section: Discussionmentioning
confidence: 99%
“…Given the great simplicity of the proposed formula, involving only sums, computational efficiency is guaranteed and integration in any AHP-based DSS is straightforward and of great interest. Finally, various applications of the Linearization Method (see, for example, [15,16]) can also benefit in a straightforward way from the obtained simplicity.…”
Section: Discussionmentioning
confidence: 99%
“…In [5] we consider that AHP methodology can be thought as a dynamic model, following the idea that input in decision-making depends on whether actors indicate their preferences once or at several times. We presented mechanisms for adding and deleting criteria efficiently to preserve the work previously done on consistency with the criteria used so far.…”
Section: Discussionmentioning
confidence: 99%
“…This task is within a project for assessing the best leakage control alternative [14] that was specifically developed by the authors with Valencia's main water utility. Many of the matrices obtained in the course of this project have already been used by the authors in previous works [3,4,5,6,13]. The matrix in Table 1 was not considered in the main decision-making process as it was incomplete.…”
Section: Application In the Context Of Leak Managementmentioning
confidence: 99%
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