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All Journal Indonesian Journal of Electrical Engineering and Computer Science
Djamila Hamdadou
University of Oran 1 Ahmed Ben Bella

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A multicriteria collaborative decision support system for multidisciplinary medical coordination meetings Souad Madouri; Kaouter Labed; Kawther Makhlouf; Djamila Hamdadou; Anis Ayoub Amara; Aya Aouimer
Indonesian Journal of Electrical Engineering and Computer Science Vol 42, No 3: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v42.i3.pp753-766

Abstract

Multidisciplinary team meetings (MDTMs) are central to cancer care. However, consensus can be hard to reach because specialists rely on diverse expertise and uncertain, multi-criteria clinical data. In this paper, we propose a group decision support system (GDSS) that integrates a multi-agent system (MAS) with multi-criteria decision making (MCDM) to structure interactions, aggregate expert preferences, enable real-time evaluation of options based on criteria, and transparently prioritize patients for discussion and intervention. Each specialist is represented by an agent that evaluates cases against shared criteria, while an embedded negotiation protocol enables exchanges and concessions to resolve conflicts and build consensus. We evaluated the GDSS using simulated breast cancer MDTM scenarios generated from a synthetic dataset of MDTM records. Experimental results demonstrate rapid convergence toward a consensual patient prioritization within a few negotiation iterations; in our experiments, agreement on the highest risk patient was reached after four rounds. Sensitivity analysis on subjective inputs, including criteria weights and preference profiles, produced minor changes in the resulting ranking, indicating robustness and stability to preference variations. The system maintains low computational complexity and short execution times, improving the transparency and consistency of MDTM recommendations. These outcomes confirm effectiveness and scalability for complex multidisciplinary clinical decisions.
Collaborative and argumentative decision support system applied to land use planning Nawel Boudraa; Djamila Hamdadou
Indonesian Journal of Electrical Engineering and Computer Science Vol 42, No 1: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v42.i1.pp237-251

Abstract

Group decision-making in land-use planning is based on complex processes, due to the diversity of stakeholders and the plurality of criteria to be considered. This article presents the design of a collaborative group decision support system, K-ProSWOT, combining a multi-agent system and multi criteria approaches to support decision-making processes. The methodology combines the K-means clustering algorithm to group similar actions together and reduce the number of options to be studied, the Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE II) method for quantitative ranking of possible alternatives, and Strengths, Weaknesses, Opportunities, Threats (SWOT) analysis to structure qualitative collective argumentation. These tools are integrated into a participative process, culminating in a collective, well-argued decision-making process. An interactive dashboard accompanies the system, keeping track of the various stages in the decision-making process. The proposed approach aims to enhance the quality of territorial decisions by reconciling an objective assessment of data with the active involvement of stakeholders.
Co-Authors Anis Ayoub Amara Aya Aouimer Kaouter Labed Kawther Makhlouf Nawel Boudraa Souad Madouri