Airport Operation Situation Risk Assessment: Combination Method Based on FAHP and Fine Kinney

Zhang, Xintai; Xing, Xiaoqing; Xie, Yue; Zhang, Yaping; Xing, Zhiwei; Luo, Xiao

doi:10.1061/9780784482742.049

Cited by 4 publications

(4 citation statements)

References 4 publications

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“…Weight is a numerical value used to measure the relative importance between indexes, which reflects the comprehensive evaluation of different attributes of a certain object by decisionmakers. It plays a decisive role in determining whether the evaluation results are reasonable and scientific 1 . When conducting comprehensive evaluations, both a large number of indices and the meanings and contents expressed by these indexes are different.…”

Section: Instructionmentioning

confidence: 99%

A Novel Index Weight Determination Method for Improving Objectivity

Ma,

Li,

et al. 2024

Preprint

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The index weight determines the scientificity and rationality of the comprehensive evaluation results. However, the traditional index calculation method, which is scored directly by decision-makers, excessively depends on the degree of experience and knowledge accumulation of decision-makers. Different decision-makers’ understandings of the index have great differences and fuzziness, which makes the weight calculation results biased or even wrong due to the influence of human subjective factors. To solve this problem, this paper considers that the index weight value contains the decision-makers’ personal subjective information and common objective information, and then proposes a weight calculation approach to improve the objectivity of the index based on the Superiority of Neighboring Objectives and the Ensemble Empirical Mode Decomposition, which can eliminate the subjective information in the weight value and obtain a more objective weight value. Finally, the rationality and objectivity of the proposed method are verified by comparing them with the classical AHP, subjective weighting method and objective weighting method.

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Section: Instructionmentioning

confidence: 99%

A Novel Index Weight Determination Method for Improving Objectivity

Ma,

Li,

et al. 2024

Preprint

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“…Zhang et al developed a risk assessment technique that combines the Fuzzy Analytical Hierarchy Process (FAHP) and Fine-Kinney methodologies to prioritize and categorize hazards in airport operating procedures. By utilizing such methods, risks can be prioritized, categorized, evaluated, and solutions can be proposed to prevent the occurrence of risks [ 12 ]. Gul et al utilized the FAHP and the Fuzzy-Vlse Kriterijumsk Optimizacija Kompromisno Resenje (FVIKOR) approaches to overcome the limitations of the classic Fine-Kinney method.…”

Section: Literature Reviewmentioning

confidence: 99%

Risk assessment of firefighting job using hybrid SWARA-ARAS methods in fuzzy environment

Soltani,

Mirzaei Aliabadi

2023

Heliyon

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“…Here, there are handicaps in taking the importance level of risk parameters equally and choosing crisp numbers that do not provide flexibility in evaluating the risk quantitatively (Gul et al 2021b ). This method combines fuzzy logic theory to reflect and transform uncertain risk information expressed by linguistic variables (Wang et al 2022a ; b ; Çalış Boyacı and Selim 2022 ; Tang et al 2021 ; Gul et al 2021b , 2018 ; Zhang et al 2020 ; Wang et al 2018 ). In addition, it is frequently applied together with MCDM methods since it reflects the nature of the decision problem in determining the importance weights of the parameters and prioritizing the risks (Can and Toktas 2021 ; Zhu et al 2019 ; Kokangül et al 2017 ).…”

Section: Literature Reviewmentioning

confidence: 99%

Control measure prioritization in Fine − Kinney-based risk assessment: a Bayesian BWM-Fuzzy VIKOR combined approach in an oil station

Gül

Yücesan

2022

Environ Sci Pollut Res

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The Fine − Kinney is a risk assessment method widely used in many industries due to its ease of use and quantitative risk evaluation. As in other methods, it is a method that recommends taking a series of control measures for operational safety. However, it is not always possible to implement control measures based on the determined priorities of the risks. It is considered that determining the priorities of these measures depends on many criteria such as applicability, functionality, performance, and integrity. Therefore, this study has studied the prioritization of control measures in Fine − Kinney-based risk assessment. The criteria affecting the prioritization of control measures are hierarchically structured, and the importance weights of the criteria are determined by the Bayesian Best–Worst Method (BBWM). The priorities of control measures were determined with the fuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje (FVIKOR) method. The proposed model has been applied to the risk assessment process in a petrol station’s liquid fuel tank area. According to the results obtained with BBWM, the most important criterion affecting the prioritization of control measures is the applicability criterion. It has an importance weight of about 42%. It is followed by performance with 31%, functionality with 18%, and integrity with 10%, respectively. FVIKOR results show that the “Periodic control of the ventilation device” measure is the top priority for Fine − Kinney risk assessment. “The absence of any ducts or sewer pits that may cause gas accumulation in the tank area and near the dispenser; Yellow line marking of entry and exit and vehicle roads; Placing of speed limit warning signs” has been determined as a secondary priority. On conclusion, this proposed model is expected to bring a new perspective to the work of occupational health and safety analysts, since the priority suggested by Fine − Kinney risk analysis methods is not always in the same order as the one in the stage of taking action, and the source, budget, and cost/benefit ratio of the measure affect this situation in practice. Supplementary Information The online version contains supplementary material available at 10.1007/s11356-022-19454-x.

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Airport Operation Situation Risk Assessment: Combination Method Based on FAHP and Fine Kinney

Cited by 4 publications

References 4 publications

A Novel Index Weight Determination Method for Improving Objectivity

A Novel Index Weight Determination Method for Improving Objectivity

Risk assessment of firefighting job using hybrid SWARA-ARAS methods in fuzzy environment

Control measure prioritization in Fine − Kinney-based risk assessment: a Bayesian BWM-Fuzzy VIKOR combined approach in an oil station

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