mcda

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.

📈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.

An MCDA add-in for ArcMap.

The RMCDA package is a comprehensive toolkit for Multi-Criteria Decision Analysis (MCDA), designed to facilitate the evaluation and ranking of alternatives based on multiple criteria. The package provides methods for implementing various MCDA techniques, including pairwise comparisons, partial-order analysis, and dominance-based decision rules.

The MCDA Toolkit is a lightweight .NET tool designed for Multi-Criteria Decision Analysis (MCDA).

Java Evolutionary Multi-Objective Algorithm

A web application that aims to rank resumes in relation to a job offer using Multiple Criteria Decision Aid (MCDA) to sort the CVs.

UrbanIQ is an open, reproducible pipeline and interactive map that ranks Montréal’s municipal buildings by their combined mitigation–adaptation impact. It computes a transparent MCDA priority score from operational carbon intensity and flood exposure, and incorporates social and greening indicators when available.

Python 3 library for Multi-Criteria Decision Analysis based on distance metrics, providing twenty different distance metrics.

Plot Finite Partially Ordered Sets in Python

Python Package (on PyPI) for MCDM using TOPSIS Technique

An ArcGIS Pro Add-in for Multi-Criteria Decision Analysis (MCDA) and Sensitivity Analysis (SA). This tool automates Analytic Hierarchy Process (AHP) and Fuzzy AHP (FAHP) calculations to streamline complex spatial decision-making, suitability modeling, and weightage assignment directly within the ArcGIS environment.

A reproducible urban-territorial resilience index prototype for Kaş/Bayındır, Antalya, based on a five-pillar composite indicator framework.

QGIS plugin that generates a customized site classification raster layer for educational facilities (schools).

⚖️ Multi-criteria decision-making methods using Python.

Collection of generalized p-mean models with classic, fuzzy and unweighted approach

multi-criteria decision analysis (MCDA) of various harms of drugs used recreationally in the UK

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.