# AHP-BenchmarkConsistency

## Description

These are simulated data for Pairwise Comparison Matrices in the AHP. There are 4 pairs of data, with each pair comprising a 72000 row dataframe named df9* and a list, named sl9* of identical length. The pair corresponds to simulated AHP data, for PCMs of order 3, 4, 5, ..., 10, 11, 12. 7200 PCMs are simulated for each of the 10 orders. * df/sl9T these are random PCMs generated using comparison ratios from the Fundamental Scale * df/sl9S these are random PCMs with improved consistency by 3 applications of Harker's method; "Derivatives of the Perron root of a positive reciprocal matrix: With applications to the analytic hierarchy process", 1987, Applied Mathematics and Computing, Vol 22(11) * df/sl9L2 these are intentional PCMs, simulated following Bose 2022, "Consistency re-evaluation in analytic hierarchy process based on simulated consistent matrices", Journal of Multi-criteria Decision Analysis, Vol 29 These are non-random PCMs, simulated in a manner akin to a rational decision maker. * df/sl9L2test these are intentional PCMs similar to df/sl9L2, but generated to test the method and thresholds defined

## Files

## Steps to reproduce

The 4 sets of data were simulated to generate research data for a new proposed consistency classification method in AHP.