Enhancing Decision Analysis with a Large Language Model: pyDecision a Comprehensive Library of MCDA Methods in Python

Valdecy Pereira, Marcio Pereira Basilio, Carlos Henrique Tarjano SantosCarlos Henrique Tarjano Santos
4/9/2024
cs.AI

No official code found. Best implementation: Valdecy/pyDecision (363 stars, last commit 2026-04-12).

Abstract

Purpose: Multicriteria decision analysis (MCDA) has become increasingly essential for decision-making in complex environments. In response to this need, the pyDecision library, implemented in Python and available at https://bit.ly/3tLFGtH, has been developed to provide a comprehensive and accessible collection of MCDA methods. Methods: The pyDecision offers 70 MCDA methods, including AHP, TOPSIS, and the PROMETHEE and ELECTRE families. Beyond offering a vast range of techniques, the library provides visualization tools for more intuitive results interpretation. In addition to these features, pyDecision has integrated ChatGPT, an advanced Large Language Model, where decision-makers can use ChatGPT to discuss and compare the outcomes of different methods, providing a more interactive and intuitive understanding of the solutions. Findings: Large Language Models are undeniably potent but can sometimes be a double-edged sword. Its answers may be misleading without rigorous verification of its outputs, especially for researchers lacking deep domain expertise. It's imperative to approach its insights with a discerning eye and a solid foundation in the relevant field. Originality: With the integration of MCDA methods and ChatGPT, pyDecision is a significant contribution to the scientific community, as it is an invaluable resource for researchers, practitioners, and decision-makers navigating complex decision-making problems and seeking the most appropriate solutions based on MCDA methods.

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Code Implementations(1)

Valdecy/pyDecisionCommunity100%

pyDecision is a comprehensive Python library that encompasses a wide array of Multi-Criteria Decision Analysis (MCDA) methods. These powerful and versatile tools assist in making effective decisions by comparing alternatives based on multiple criteria, making it a valuable resource for researchers, analysts, and decision-makers.

36384PythonAug 10, 20206 months agoNOASSERTION
ahpchatgptelectreelectre-ielectre-ii+9 more

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Cite this paper

@article{pereira2024enhancing,
  title  = {Enhancing Decision Analysis with a Large Language Model: pyDecision a Comprehensive Library of MCDA Methods in Python},
  author = {Valdecy Pereira and Marcio Pereira Basilio and Carlos Henrique Tarjano SantosCarlos Henrique Tarjano Santos},
  year   = {2024},
  eprint = {2404.06370},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2404.06370v1}
}

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