📈Multiple-Criteria Decision Analysis (MCDA) techniques enhanced with Deep Learning Techniques to solve a Securities Selection (Stocks) problem
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.
Multi-criteria decision analysis methods written in JS
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.
Especialização em Métodos Matemáticos Aplicados - UTFPR
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
⚖️ Multi-criteria decision-making methods
Collection of Multi-Criteria Decision Making Node-RED nodes.
Modelo híbrido de análise multicritério em dois estágios.
un système complet d'aide à la décision de groupe basé sur la méthode multicritère PROMETHEE II. Il permet à plusieurs décideurs de collaborer pour évaluer et sélectionner des actions/alternatives selon leurs propres critères et préférences.
👨🏻⚕️ Multicriteria analysis to determine the best location for a public hospital in Avellaneda using QGIS.
🥈 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
Combining multicriteria value measurement with mathematical programming for modeling complex decisions: Applications in strategic forest management planning
Data Science portfolio
Author's original work: a multi-criteria decision analysis model that doesn't use weighting factors
The first fully automated smartphone recommendation engine on the internet. Co-author: orestespap
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