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.

A hybrid AHP and HDM tool in Excel

A fuzzy TOPSIS implementation and its usage for selecting a software defect prediction method

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.

“We chose it because we deal with huge amounts of data. Besides, it sounds really cool” Larry Page, co-founder of Google

Multiple-criteria decision analysis (MCDA) in python

The first fully automated smartphone recommendation engine on the internet. Co-author: orestespap

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

Materials for CAGIS-UCGIS Joint Symposium 2024

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

Decision making platform using multi-criteria decision analysis methods. Free and open source

V-COMET: a method for multi-criteria decision analysis using VIKOR to evaluate characteristic objects

Engine for the UTA-GMS system

Diviz module for the BWM method.

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.

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

Multiple-criteria decision analysis

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

A Python library for creating TOPSIS rankings and visualizing the alternatives in WMSD for interpretation and designing improvement actions