Decision Making via AHP

2014/02/09 by M. Andrecut, Andrecut, M.
Mathematics · Physics and Astronomy · #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Methodology (stat.ME) #Statistics and Probability (physics.data-an) #physics.data-an #stat.ME

paper · pdf · doi:10.48550/arxiv.1402.1976

4 pages

arxiv created 2014/02/09 · arxiv updated 2014/02/11

Abstract

The Analytic Hierarchy Process (AHP) is a procedure for establishing priorities in multi-criteria decision making problems. Here we discuss the Logarithmic Least Squares (LLS) method for the AHP and group-AHP, which provides an exact and unique solution for the priority vector. Also, we show that for the group-AHP, the LLS method is equivalent with the minimization of the weighted sum of generalized Kullback-Leibler divergences, between the group-priority vector and the priority vector of each expert.

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