# Decision Making via AHP

arXiv: https://arxiv.org/abs/1402.1976 · HTML: https://mlsanity.com/paper/1402.1976/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 9 Feb 2014.

## Built on by (most cited first, 1 of 1)

- [Doc2AHP: Inferring Structured Multi-Criteria Decision Models via Semantic Trees with LLMs](https://mlsanity.com/paper/2601.16479/) (2026)

## Abstract (arXiv)

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.