Work

Mamdani fuzzy expert system for departmental resource allocation: code and data

Year: 2026

Type: software

Abstract: Python implementation, synthetic data and scripts that reproduce all results, tables and figures of the manuscript "Design and simulation-based evaluation of a Mamdani fuzzy expert system for transparent departmental resource allocation in an Egyptian public university context" (submitted to Scientific Reports). Includes a vectorised Mamdani fuzzy inference system with the complete 27-rule base, crisp, Sugeno and weighted-sum baselines, Gini/Lorenz equity metrics, sensitivity (one-at-a-time and Sobol), Monte Carlo robustness, scalability tests, and a MATLAB script that rebuilds the same fuzzy inference system. All data are synthetic; no personal or institutional data are included. Run: python scripts/run_all.py then python scripts/make_figures.py (fixed seed 20261030).

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.23785477

Authors: Zanaty, Amal Mahsoub Mohamed, Tony, Mohamed Abd Allah, Dosokey, Doaa Mohamed Ahmed, Amein, Mohamed A. Abd Elhamed

Institutions: Arish University, Badr University in Cairo

Language: English

Topic: Fuzzy Logic and Control Systems

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7224837698

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