Taipei : Graduate Institute of Management Science, Tamkang University
This study presents an additive scale model for the Analytic Hierarchy Process (AHP)
that suits the decision problem using a linear preference comparison. This study discusses
issues related to mathematical denotation, axiom, transitivity and numerical analysis for the
additive scale model of AHP. The least squares method and correlation analysis are used to
obtain the relative criteria weights and consistency index. Moreover, a fuzzy model is developed to enhance the practical flexibility of the additive scale model of AHP in applications.
Two examples are used to demonstrate that the criteria weights derived from the proposed
approach are steady and effectively reflect the intensity of perception, and the consistency
index is invariant to the scale multiplier employed.
International Journal of Information and Management Sciences 20(1), pp.71-88