mavahedinia / madm-weighting-methods

madm-non-compensatory-solvers

Multi Attribute Decision Making project: Weighting a sample problem attributes using methods taught in the class.

Methods implemented:

• Least Square Function

• Eigenvectors

How to run

First of all, you need pypoetry to install project dependencies (also you can simply use pip and the requirements.txt provided file; however, it is recomended to use pypoetry)

after installing dependencies using poetry install you can use the run.py to start the project:

run -m {METHOD} -f {PRIORITY_SET_CSV_FILE} -p {PROBLEM_PARAMETERS_CSV_FILE} -o {OUTPUT_CSV_FILE}

For more information, please check run.py

Contributors

With special thanks to Amirreza Salehi