Determining the Optimal Selection Criteria for Unmanned Surface Vehicles in Port Security Using Fuzzy AHP and the Best-Worst Method

The primary objective of this study is to evaluate the selection criteria for unmanned maritime vehicles in the context of port security. The selection criteria were obtained through a comprehensive review of the extant literature and consultation with experts in the field. The objective was to ascertain the relative weights of these criteria using the fuzzy AHP and Best Worst Method. The evaluations of five decision makers were utilised in the implementation phase. Following a thorough evaluation of the available data, it was determined that both methods yielded analogous results. The most significant criteria was determined to be "Endurance," while "Maintenance Cost" and "Investment Cost" were found to be of lesser importance. The study provides port operators with a unique perspective on the use of unmanned maritime vehicles for port security, emphasising the criteria that should be given greater attention.

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Publication Details

Journal
Knowledge and Decision Systems with Applications
Published
2025-07-18
DOI
https://doi.org/10.59543/kadsa.v1i.15231
Primary Topic
Maritime Ports and Logistics
Type
article
Field-Weighted Citation Impact
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article

Determining the Optimal Selection Criteria for Unmanned Surface Vehicles in Port Security Using Fuzzy AHP and the Best-Worst Method

Bartu Güneri, Selen Baldıran, Şeyma Duymaz, A.G. Turk et al.
Knowledge and Decision Systems with Applications
Maritime Ports and Logistics
article

Determining the Optimal Selection Criteria for Unmanned Surface Vehicles in Port Security Using Fuzzy AHP and the Best-Worst Method

Bartu Güneri, Selen Baldıran, Şeyma Duymaz, A.G. Turk, Oğuzhan Gökbayrak, Mine Konur Bilgen
article en

Abstract

The primary objective of this study is to evaluate the selection criteria for unmanned maritime vehicles in the context of port security. The selection criteria were obtained through a comprehensive review of the extant literature and consultation with experts in the field. The objective was to ascertain the relative weights of these criteria using the fuzzy AHP and Best Worst Method. The evaluations of five decision makers were utilised in the implementation phase. Following a thorough evaluation of the available data, it was determined that both methods yielded analogous results. The most significant criteria was determined to be "Endurance," while "Maintenance Cost" and "Investment Cost" were found to be of lesser importance. The study provides port operators with a unique perspective on the use of unmanned maritime vehicles for port security, emphasising the criteria that should be given greater attention.

Knowledge and Decision Systems with ApplicationsVol. 1
Naval Academy (TR), Istanbul Technical University (TR)
Openalex Percentile: Top 73%
Maritime Ports and Logistics
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Determining the Optimal Selection Criteria for Unmanned Surface Vehicles in Port Security Using Fuzzy AHP and the Best-Worst Method — Bartu Güneri, Selen Baldıran, et al. · Knowledge and Decision Systems with Applications (2025) | TGRS Research Map | TGRS