A Fuzzy AHP-TOPSIS and Mamdani Fuzzy Inference Decision-Making System for the Environmental Impact Assessment of Hydropower Projects

Authors

  • Farzan Khorasani School of Energy Systems, LUT University, Lappeenranta, Finland

Keywords:

fuzzy AHP, fuzzy TOPSIS, Mamdani fuzzy inference system, environmental impact assessment, multi-criteria decision-making, hydropower

Abstract

Abstract
Environmental impact assessment (EIA) of large hydropower schemes involves criteria that are simultaneously heterogeneous in scale, partly qualitative, and elicited under expert uncertainty, conditions for which fuzzy multi-criteria decision-making (MCDM) is well suited. This study develops an integrated fuzzy logic decision-making system combining fuzzy Analytic Hierarchy Process (fuzzy AHP), fuzzy Technique for Order Preference by Similarity to Ideal Solution (fuzzy TOPSIS), and a Mamdani fuzzy inference system (FIS), and applies it to a case study of six operating large hydropower schemes (Three Gorges, Itaipu, Belo Monte, Nam Theun 2, the Grand Ethiopian Renaissance Dam, and Xayaburi) evaluated against eight environmental, social and technical criteria. Criteria weights were derived with Buckley's fuzzy geometric-mean method (cross-checked against Chang's extent analysis, consistency ratio CR = 0.012), and used to rank alternatives by fuzzy-TOPSIS closeness coefficient. An independently parameterised Mamdani FIS provided a rule-based severity classification as a cross-check. The Xayaburi scheme obtained the most favourable composite ranking, driven by its comparatively small inundation footprint and low resettlement burden, despite documented severe biodiversity impacts; Monte Carlo weight-perturbation analysis (2,000 runs) confirmed this ranking is robust to plausible weight uncertainty (mean Spearman's rho = 0.85), while one-at-a-time ±20% perturbations left the top rank unchanged in all 16 scenarios. The Mamdani cross-check, however, classified five of the six schemes as “High” overall impact severity, underscoring that a favourable composite rank should not be read as low absolute impact. The framework, released with fully reproducible open-source Python code, offers environmental regulators and financing institutions a transparent, auditable decision-support tool for comparative hydropower EIA.

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Published

2026-07-25

How to Cite

Khorasani, F. (2026). A Fuzzy AHP-TOPSIS and Mamdani Fuzzy Inference Decision-Making System for the Environmental Impact Assessment of Hydropower Projects. Environmental Industry Letters, 4(2), 76–91. Retrieved from https://journals.tultech.eu/index.php/eil/article/view/698