Optimizing the Allocation of Risk Control Measures Using Fuzzy MCDM Approach: Review and Application

Pouyakian, Mostafa; Khatabakhsh, Ashkan; Yazdi, Mohammad; Zarei, Esmaeil

doi:10.1007/978-3-030-93352-4_4

Cited by 5 publications

(1 citation statement)

References 71 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Multi-hazard risk assessment has increasingly become a crucial topic worldwide, primarily driven by the growing frequency, complexity, and interconnectedness of hazards (Gill et al, 2022). However, assessing the risks posed by multiple hazards presents significant challenges, mainly due to the intricate interactions among individual hazards, leading to compound or cascading events (Gill and Malamud, 2014;Pouyakian et al, 2022;Tilloy et al, 2019). For instance, earthquakes, storms, and floods often culminate in multi-hazard events (Akay, 2021).…”

Section: Introductionmentioning

confidence: 99%

Evaluating Multi-Hazard Risk Associated with Tropical Cyclones Using the Fuzzy Analytic Hierarchy Process Model

Sarker,

Adnan

2023

Preprint

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Evaluating Multi-Hazard Risk Associated with Tropical Cyclones Using the Fuzzy Analytic Hierarchy Process Model

Sarker,

Adnan

2023

Preprint

View full text Add to dashboard Cite

Cutting Edge Research Topics on System Safety, Reliability, Maintainability, and Resilience of Energy-Critical Infrastructures

Peng

Adumene

et al. 2023

Studies in Systems, Decision and Control

View full text Add to dashboard Cite

Combining fuzzy MCDM with Kano model and FMEA: a novel 3-phase MCDM method for reliable assessment

Shao,

Zhong,

Tian

et al. 2024

Ann Oper Res

View full text Add to dashboard Cite

In the circular economy era, this study addresses sustainable business management for high-investment and long-life cycle projects, where accurate and reliable assessments are crucial to ensuring successful outcomes. The objective is to elevate the reliability of assessments by introducing a novel decision-making method that, for the first time, integrates time-based satisfaction and risk factors simultaneously. We propose a 3-phase multi-criteria decision-making (MCDM) method, which combines fuzzy MCDM comprising fuzzy analytic hierarchy process and fuzzy technique for order preference by similarity to ideal situation (TOPSIS), Kano model, and failure mode and effects analysis (FMEA) techniques, to handle reliable assessments effectively. Our method is distinct in its incorporation of time-based satisfaction weights derived from Kano model, emphasising decision-makers’ criteria preferences in short, medium, and long terms. Furthermore, we introduce risk-discounted weights by using FMEA to tune criteria scores. The method is validated via a numerical example case, assessing and selecting the most appropriate hydrogen storage method for lightweight vehicles. The results suggest that cryo-compressed hydrogen tank with 250–350 bar and at cryogenic temperature is the most suitable storage method. Health & safety with a weight of 0.5318 emerges as the most important main criterion, and permeation & leakage with a weight of 0.4008 is the most important sub-criterion. To bridge the gap between theoretical research and practical application, we transform the new method into a user-friendly web application with graphical user interface (GUI). End-users can conduct reliable assessments and foster sustainable business management through informed decision-making.

show abstract

Optimizing the Allocation of Risk Control Measures Using Fuzzy MCDM Approach: Review and Application

Cited by 5 publications

References 71 publications

Evaluating Multi-Hazard Risk Associated with Tropical Cyclones Using the Fuzzy Analytic Hierarchy Process Model

Evaluating Multi-Hazard Risk Associated with Tropical Cyclones Using the Fuzzy Analytic Hierarchy Process Model

Cutting Edge Research Topics on System Safety, Reliability, Maintainability, and Resilience of Energy-Critical Infrastructures

Combining fuzzy MCDM with Kano model and FMEA: a novel 3-phase MCDM method for reliable assessment

Contact Info

Product

Resources

About