Decision Making via AHP

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

paper · doi:10.48550/arxiv.1402.1976

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.

Related

• The Analytic Hierarchy Process—An Exposition
• Efficient vectors in priority setting methodology
• Axioms of the Analytic Hierarchy Process (AHP) and its Generalization to Dependence and Feedback: The Analytic Network Process (ANP)
• Explaining Results of Multi-Criteria Decision Making
• Optimization Models to Meet the Conditions of Order Preservation in the Analytic Hierarchy Process