Bayesian Best-Worst Method

This repository contains the MATLAB implementation of the Bayesian Best-Worst Method. You need to have JAGS installed on your machine. See the following link to download JAGS: http://mcmc-jags.sourceforge.net/

Getting Started

To run your example, open runme.m and replace the following three variable with your own data

nameOfCriteria: This variable contains the name of Criteria
A_B: contains the best-to-others vectors of all decision-makers. Each row is dedicated to a best-to-others vector from a decision-maker.
A_W: contains the worst-to-other vectors of all decision-makers. Each row is dedicated to a others-to-worst vector from a decision-maker.

Prerequisites

You need to have JAGS installed on your machine. See the following link to download JAGS: http://mcmc-jags.sourceforge.net/

Reference

If you use this implementation, you can cite our paper: M. Mohammadi, J. Rezaei, Bayesian Best-Worst Method: A Probabilistic Group Decision Making Model, Omega, 2019.

Contact

If you have any problem executing the code, contact Majid Mohammadi, m.mohammadi@tudelft.nl