Multi-Criteria Decision-Making (MCDM) for Waste Management

This repository contains the full pipeline for evaluating Municipal Solid Waste Management (MSWM) scenarios using a hybrid MCDM framework that integrates:

1. Fuzzy AHP (Analytic Hierarchy Process)

   • Derives global weights for criteria using expert judgments expressed as linguistic terms and converted into triangular fuzzy numbers (TFNs).
   • Implements Chang’s extent analysis method.

2. TOPSIS (Technique for Order Preference by Similarity to Ideal Solution)

   • Ranks scenarios based on closeness to the ideal solution and distance from the anti-ideal.

3. PROMETHEE II (Preference Ranking Organization Method for Enrichment Evaluation)

   • Ranks scenarios based on pairwise dominance relations using V-shape and Usual preference functions.

4. Comparison Module

   • Consolidates TOPSIS and PROMETHEE II outputs into a single table for cross-method interpretation.

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Repository Structure

• calc_details.md → Detailed methodology and formulae used in this framework.
• fuzzy_ahp_run_verbose.py → Computes criteria weights (pillar, within-pillar, and global) using Fuzzy AHP.
• topsis_run_verbose.py → Performs TOPSIS analysis with full step-by-step outputs.
• promethee2_run_verbose.py → Performs PROMETHEE II analysis with detailed outputs.
• compare_topsis_promethee.py → Generates a consolidated comparison table of scenario rankings.
• scenario_performance_matrix - Template.xlsx → Template for scenario data, criteria info, and weights.
• AHP_Template.xlsx → Template for pairwise comparison for fuzzy AHP using triangular fuzzy numbers (TFN).

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Outputs

Each script generates:

• A results folder with numbered, descriptive CSVs for every intermediate step.
• A for_paper/ subfolder with only the key results formatted for direct use in publications.