Course Overview

This focused workshop introduces scholars to Integrated Structural Modelling (ISM), Analytic Hierarchy Process (AHP), and Fuzzy extensions for tackling complex decision-making under uncertainty. Participants will learn how to combine structural modelling with prioritization and fuzzy logic to design robust, research-ready frameworks.

Learning Outcomes

• Understand the fundamentals of ISM, AHP, and Fuzzy MCDM approaches.
• Apply ISM to map structural relationships among criteria.
• Perform AHP to derive weights and check consistency of decision matrices.
• Use Fuzzy logic to handle ambiguity and linguistic judgments in evaluations.
• Integrate ISM–AHP–Fuzzy for multi-level prioritization in real-world research problems.
• Translate outputs into causal maps, weighted rankings, and robust decision models for publication-ready results.

Tools & Resources

• Software: MATLAB, R (ISM & fuzzyAHP packages), Python (pyMCDM, AHPy), Excel templates.
• Visualization: Gephi, yEd, Power BI.
• AI tools: ChatGPT/Elicit for structuring matrices, fuzzy data handling, and synthesis.