Work

The pymcdm-reidentify tool: Advanced methods for MCDA model re-identification

Year: 2024

Type: software-paper

Abstract: The pymcdm-reidentify tool addresses the challenge of reconstructing multi-criteria decision analysis (MCDA) and decision-making (MCDM) models when original parameters are unavailable, but rankings are known. This Python package integrates with existing MCDA libraries and uses stochastic optimization to determine model parameters such as criterion weights and reference objects. Built on the pymcdm and Mealpy libraries, pymcdm-reidentify offers advanced methods for model re-identification, including visualization and fuzzy normalization. Its capabilities facilitate the update and adaptation of decision models, enhancing accuracy and efficiency in both academic and practical applications.

Source: SoftwareX

DOI: 10.1016/j.softx.2024.101960

Authors: Bartłomiej Kizielewicz, Wojciech Sałabun

Institutions: West Pomeranian University of Technology in Szczecin, National Institute of Telecommunications

Language: English

Topic: Multi-Criteria Decision Making

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: gold

Estimated APC paid: $970

Funder: Narodowe Centrum Nauki