Research Article

Comparison of Mamdani and Sugeno fuzzy inference systems in risk assessment of gas transmission pipelines using a GIS-based approach

Volume: 8 July 3, 2026

Comparison of Mamdani and Sugeno fuzzy inference systems in risk assessment of gas transmission pipelines using a GIS-based approach

Abstract

Risk assessment of gas transmission pipelines, particularly in mountainous regions with complex geomorphology, is essential for ensuring the safety and reliability of critical energy infrastructure. This study compares the Mamdani and Sugeno fuzzy inference systems for evaluating the risk of gas pipelines in Ilam city, Iran, by integrating fuzzy logic with Geographic Information Systems (GIS). Key risk factors—including distance from waterways, proximity to landslide-prone areas, pipeline leakage (dependent on material and diameter), service connection density, longitudinal expansion (dependent on material and length), and distance from gas valves—were identified and incorporated into the models. The final risk maps indicated that areas adjacent to watercourses, landslide-prone zones, regions with higher service connection density, and sections farther from control valves are at greater risk. Quantitative validation showed strong spatial agreement between the models, with IoU = 0.81 and Dice = 0.89, and high-risk areas covering 22.3% in the Mamdani model and 19.6% in the Sugeno model. The Sugeno model demonstrated 24% faster runtime and 18% lower memory usage, providing smoother numerical outputs suitable for quantitative analysis, whereas the Mamdani model offered clear, interpretable results advantageous for managerial decision-making. These findings highlight that model selection should be guided by analytical objectives, with Mamdani preferred for qualitative and interpretive assessments, and Sugeno for precise numerical and computationally efficient analyses.

Keywords

References

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Details

Primary Language

English

Subjects

Geospatial Information Systems and Geospatial Data Modelling

Journal Section

Research Article

Publication Date

July 3, 2026

Submission Date

September 6, 2025

Acceptance Date

December 20, 2025

Published in Issue

Year 2026 Volume: 8

APA
Anvari, H., Feizizadeh, B., & Valizadeh Kamran, K. (2026). Comparison of Mamdani and Sugeno fuzzy inference systems in risk assessment of gas transmission pipelines using a GIS-based approach. Turkish Journal of Remote Sensing, 8. https://doi.org/10.51489/tuzal.1779097
AMA
1.Anvari H, Feizizadeh B, Valizadeh Kamran K. Comparison of Mamdani and Sugeno fuzzy inference systems in risk assessment of gas transmission pipelines using a GIS-based approach. TJRS. 2026;8. doi:10.51489/tuzal.1779097
Chicago
Anvari, Hossein, Bakhtiar Feizizadeh, and Khalil Valizadeh Kamran. 2026. “Comparison of Mamdani and Sugeno Fuzzy Inference Systems in Risk Assessment of Gas Transmission Pipelines Using a GIS-Based Approach”. Turkish Journal of Remote Sensing 8 (July). https://doi.org/10.51489/tuzal.1779097.
EndNote
Anvari H, Feizizadeh B, Valizadeh Kamran K (July 1, 2026) Comparison of Mamdani and Sugeno fuzzy inference systems in risk assessment of gas transmission pipelines using a GIS-based approach. Turkish Journal of Remote Sensing 8
IEEE
[1]H. Anvari, B. Feizizadeh, and K. Valizadeh Kamran, “Comparison of Mamdani and Sugeno fuzzy inference systems in risk assessment of gas transmission pipelines using a GIS-based approach”, TJRS, vol. 8, July 2026, doi: 10.51489/tuzal.1779097.
ISNAD
Anvari, Hossein - Feizizadeh, Bakhtiar - Valizadeh Kamran, Khalil. “Comparison of Mamdani and Sugeno Fuzzy Inference Systems in Risk Assessment of Gas Transmission Pipelines Using a GIS-Based Approach”. Turkish Journal of Remote Sensing 8 (July 1, 2026). https://doi.org/10.51489/tuzal.1779097.
JAMA
1.Anvari H, Feizizadeh B, Valizadeh Kamran K. Comparison of Mamdani and Sugeno fuzzy inference systems in risk assessment of gas transmission pipelines using a GIS-based approach. TJRS. 2026;8. doi:10.51489/tuzal.1779097.
MLA
Anvari, Hossein, et al. “Comparison of Mamdani and Sugeno Fuzzy Inference Systems in Risk Assessment of Gas Transmission Pipelines Using a GIS-Based Approach”. Turkish Journal of Remote Sensing, vol. 8, July 2026, doi:10.51489/tuzal.1779097.
Vancouver
1.Hossein Anvari, Bakhtiar Feizizadeh, Khalil Valizadeh Kamran. Comparison of Mamdani and Sugeno fuzzy inference systems in risk assessment of gas transmission pipelines using a GIS-based approach. TJRS. 2026 Jul. 1;8. doi:10.51489/tuzal.1779097

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