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.

📈Multiple-Criteria Decision Analysis (MCDA) techniques enhanced with Deep Learning Techniques to solve a Securities Selection (Stocks) problem

Multiple-criteria decision-making (MCDM) with Electre, Promethee, Weighted Sum and Pareto

implementasi algoritma promethee untuk penentuan dosen berprestasi

RMCriteria is a package to solve Multiple-Criteria Decision Analysis (MCDA) problems. For now, it only supports Promethee methods, but other methods may be developed in the future.

Introduces new Promethee modules for Diviz system.

The EC-PROMETHEE Method - A Committee Approach for Outranking Problems Using Randoms Weights

📏 Promethee II solver

Repository of my master thesis. Tests on the Promethee MCDA method and analysis of two of it's variants : Robust-Promethee and Referenced-Promethee.

Python implementation of a machine learning enhanced bipolar L-fuzzy rough PROMETHEE decision-making model.

Provide a desktop AI assistant with integrated tools, long-term memory, secure chat, and legal API support, designed for OpenAI-compatible LLMs.

Wybór serka wiejskiego na podstawie analizy wielokryterialnej (metoda AHP i Promethee)