Version <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e59" altimg="si1.svg"><mml:mrow><mml:mo>[</mml:mo><mml:mn>1</mml:mn><mml:mo>.</mml:mo><mml:mn>1</mml:mn><mml:mo>]</mml:mo></mml:mrow></mml:math>- [pymcdm – The universal library for solving multi-criteria decision-making problems]

This paper looks into the extension of pymcdm library, focusing on reference point-based techniques. It introduces implementations methods such as Reference Ideal Method (RIM), Preference Ranking On Basis Ideal-average Distance (PROBID), and Election based Relative Value Distances (ERVD). update is intended to meet increasing demand for solutions tailored decision makers’ expertise experience. Furthermore, it techniques related sensitivity analysis weight comparison factors criteria. By expanding this range MCDA/MCDM tools broadened further progress encouraged in use expert knowledge implementation compromise methods.