There are 3 repositories under mcda topic.
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.
Scikit-Criteria is a collection of Multiple-criteria decision analysis (MCDA) methods integrated into scientific python stack. Is Open source and commercially usable.
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
The Python 3 library for Multi-Criteria Decision Analysis.
A web application that aims to rank resumes in relation to a job offer using Multiple Criteria Decision Aid (MCDA) to sort the CVs.
Java Evolutionary Multi-Objective Algorithm
Python 3 library for Multi-Criteria Decision Analysis based on distance metrics, providing twenty different distance metrics.
Collection of generalized p-mean models with classic, fuzzy and unweighted approach
Framework for ranking prediction based on Multi-Layer Perceptron (MLP) regressor model and historical datasets evaluated by experts using Multi-Criteria Decision Analysis (MCDA) methods in Python.
Python Package (on PyPI) for MCDM using TOPSIS Technique
This is Python 3 library for multi-criteria decision analysis with decision-maker preference identification based on historical datasets using evolutionary stochastic algorithm Differential evolution
multi-criteria decision analysis (MCDA) of various harms of drugs used recreationally in the UK
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.
Decision making platform using multi-criteria decision analysis methods. Free and open source
A Python library for creating TOPSIS rankings and visualizing the alternatives in WMSD for interpretation and designing improvement actions
V-COMET: a method for multi-criteria decision analysis using VIKOR to evaluate characteristic objects
Multiple-criteria decision analysis (MCDA) in python
A multi-criteria decision analysis (MCDA)-based composite proxy target variable generation technique for business decision modeling that uses relevant features or independent variables conceptually related to the intended target variable.
a simple multi-criteria decision analysis (MCDA) library written in JavaScript.
“We chose it because we deal with huge amounts of data. Besides, it sounds really cool” Larry Page, co-founder of Google
This is the Python application that I created doing my thesis studying Industrial Engineering and Management in Democritus University of Thrace. It contains all the files as long as a link to the standalone executable.
Journal Ranking System for Computer Science Journals
A fuzzy TOPSIS implementation and its usage for selecting a software defect prediction method
The first fully automated smartphone recommendation engine on the internet. Co-author: orestespap
QGIS plugin that generates a customized site classification raster layer for educational facilities (schools).
The EC-PROMETHEE Method - A Committee Approach for Outranking Problems Using Randoms Weights