An Additive Scale Model for the Analytic Hierarchy Process

نویسندگان

  • Yuh-Yuan Guh
  • Rung-Wei Po
چکیده

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.

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تاریخ انتشار 2009