An open source framework for interactive multiobjective optimization methods
📈Multiple-Criteria Decision Analysis (MCDA) techniques enhanced with Deep Learning Techniques to solve a Securities Selection (Stocks) problem
Multi-criteria decision analysis methods written in JS
A web application that aims to rank resumes in relation to a job offer using Multiple Criteria Decision Aid (MCDA) to sort the CVs.
This is a template project for weighted prioritization analysis and visualization.
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.
Final Project for ParsonsTKO & TechSoup's Summer 2020 Data Strategy Mentorship Program
Collection of Multi-Criteria Decision Making Node-RED nodes.
Mymcdm package is intended to serve as a tool for handling Multiple Attribute Decision Making problems. It can retrieve and process inputs, normalize alternatives, determine relative weights of criteria and process the inputs using decision methods to determine the decision objective of the model.
Combining multicriteria value measurement with mathematical programming for modeling complex decisions: Applications in strategic forest management planning
🥈 A repository with the code created by the team 🌱rośliniary during HackYeah 2021. The project won the second prize in the category "Best place for ... everything".
Normalization approachs defined to handle value constraints for MCDA methods
👨🏻⚕️ Multicriteria analysis to determine the best location for a public hospital in Avellaneda using QGIS.
The first fully automated smartphone recommendation engine on the internet. Co-author: orestespap
Modelo híbrido de análise multicritério em dois estágios.
Author's original work: a multi-criteria decision analysis model that doesn't use weighting factors
Este workshop apresenta uma análise de eficiência utilizando o método Data Envelopment Analysis (DEA) aplicada ao setor de restaurantes. A metodologia é implementada tanto em Excel quanto em Python, permitindo aos participantes aprenderem como realizar análises de eficiência e produtividade em diferentes ferramentas.
Politechnika Wrocławska -- Kurs: Teoria i Metody Optymalizacji -- Autor: Michał Nowak -- Zadanie: Implementacja algorytmu genetycznego NSGA do optymalizacji zadania dwukryterialnego bez ograniczeń
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