Abstract: The procedure for selecting projects in order to offer a grant for actors of the social and solidarity economy can be a delicate task for decision-makers (Public or Private Establishments), which is based on several eligibility and refusal criteria (economic, social and environmental); the task that can sometimes take several months before returning the results. This study proposes an integrated framework based on two multi-criteria decision methods, analytical hierarchy process (AHP) and technique for order performance by similarity to an ideal solution (TOPSIS), to select and rank viable projects to obtain a grant from the INDH (National Initiative for Human Development). Initially, the projects were randomly selected from a list of submitted projects to receive a grant. Later, AHP obtains weights of various criteria through pairwise comparison, and projects are ranked using TOPSIS. The proposed methodology is empirically applied to the social and solidarity economy sector and provides a detailed and effective decision-making tool for selecting suitable actors to obtain a grant. The results indicate that the conservation of natural resources and the rate of job creation are the essential criteria in the process of selecting projects.

Salma Chrit, Abdellah Azmani and Monir Azmani, “Combining AHP and Topsis to Select Eligible Social and Solidarity Economy Actors for a Call for Grants” International Journal of Advanced Computer Science and Applications(IJACSA), 13(11), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0131148

@article{Chrit2022,
title = {Combining AHP and Topsis to Select Eligible Social and Solidarity Economy Actors for a Call for Grants},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0131148},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0131148},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {11},
author = {Salma Chrit and Abdellah Azmani and Monir Azmani}
}