Selection of Ice Crossing Point location using hybrid MCDM model Fuzzy AHP-EWAA-Fuzzy CoCoSo

This paper investigates the selection of locations for tank crossings over frozen water obstacles using a hybrid Fuzzy Analytic Hierarchy Process (AHP)–Einstein Weighted Arithmetic Average (EWAA)–Fuzzy Combined Compromise Solution (CoCoSo) model. The analysis includes key criteria relevant to the selection process. The Fuzzy AHP method enables precise determination of criterion weights based on expert opinions, aggregated using the EWAA operator, while Fuzzy CoCoSo provides a comprehensive analysis of alternatives to identify the optimal location. The results show that the combination of these methods offers a reliable framework for decision-making under complex conditions. Sensitivity analysis confirms the stability of the results, and comparative analysis supports the validity of the Fuzzy CoCoSo method. The model proves to be efficient and reliable for selecting locations for tank crossings over frozen water surfaces, providing a foundation for future research and practical application.

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Publication Details

Journal
Spectrum of Mechanical Engineering and Operational Research.
Published
2025-07-19
DOI
https://doi.org/10.31181/smeor21202545
Citations
1
Primary Topic
Winter Sports Injuries and Performance
Type
article
Field-Weighted Citation Impact
1.52
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article

Selection of Ice Crossing Point location using hybrid MCDM model Fuzzy AHP-EWAA-Fuzzy CoCoSo

1 citations
Spectrum of Mechanical Engineering and Operational Research.
Winter Sports Injuries and Performance
1.52
article

Selection of Ice Crossing Point location using hybrid MCDM model Fuzzy AHP-EWAA-Fuzzy CoCoSo

article en
1 citations

Abstract

This paper investigates the selection of locations for tank crossings over frozen water obstacles using a hybrid Fuzzy Analytic Hierarchy Process (AHP)–Einstein Weighted Arithmetic Average (EWAA)–Fuzzy Combined Compromise Solution (CoCoSo) model. The analysis includes key criteria relevant to the selection process. The Fuzzy AHP method enables precise determination of criterion weights based on expert opinions, aggregated using the EWAA operator, while Fuzzy CoCoSo provides a comprehensive analysis of alternatives to identify the optimal location. The results show that the combination of these methods offers a reliable framework for decision-making under complex conditions. Sensitivity analysis confirms the stability of the results, and comparative analysis supports the validity of the Fuzzy CoCoSo method. The model proves to be efficient and reliable for selecting locations for tank crossings over frozen water surfaces, providing a foundation for future research and practical application.

Spectrum of Mechanical Engineering and Operational Research.Vol. 2(1)
Institute of Metrology of Bosnia and Herzegovina (BA), University of Defence (RS)
Climate action
Openalex Percentile: Top 16%
Winter Sports Injuries and Performance
1.52
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Selection of Ice Crossing Point location using hybrid MCDM model Fuzzy AHP-EWAA-Fuzzy CoCoSo · Spectrum of Mechanical Engineering and Operational Research. (2025) | TGRS Research Map | TGRS