Fuzzy TOPSIS-based risk assessment model for effective nuclear decommissioning risk management

Awodi, Ngbede Junior; Liu, Yong-kuo; Ayo-Imoru, Ronke M.; Ayodeji, Abiodun

doi:10.1016/j.pnucene.2022.104524

Cited by 29 publications

(12 citation statements)

References 14 publications

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“…The TOPSIS method is an evaluation model that uses the positive ideal solution and negative ideal solution of the evaluation problem to rank the evaluation objects [12]. The positive ideal solution is the best value for each indicator among all evaluation objects.…”

Section: Topsis Methodsmentioning

confidence: 99%

Factors and evaluation models for the development of new energy electric vehicles in China

Li,

Hu,

Shi

2024

E3S Web Conf.

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The development of new energy electric vehicles in China is of great significance in addressing climate change, reducing dependence on fossil fuels, and promoting the growth of the clean energy industry. In this study, we establish a new energy electric vehicle development index model based on game theory portfolio empowerment. Firstly, 15 indexes related to the development of new energy electric vehicles were selected, and the optimal weights of the indexes were obtained by integrating AHP and EWM using game theory combination empowerment method, and the most important influencing factors were obtained. Then, 3 models, namely, TOPSIS, grey correlation analysis and principal component analysis, were used to evaluate the development index of new energy electric vehicles, and the results showed that the development level of China’s new energy electric vehicles from 2010-2021 shows a trend of yearly improvement, with the rate of improvement shifting from a slow increase to a rapid one.

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Section: Topsis Methodsmentioning

confidence: 99%

Factors and evaluation models for the development of new energy electric vehicles in China

Li,

Hu,

Shi

2024

E3S Web Conf.

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“…When comparing options based on a variety of factors, fuzzy TOPSIS is very helpful because it enables a thorough evaluation of each option's performance. The procedure entails defining the criteria and alternatives, distributing fuzzy membership functions to represent linguistic evaluations, creating a fuzzy decision matrix, normalising the matrix to remove scale differences, identifying the fuzzy positive ideal as well as fuzzy negative ideal solutions, computing fuzzy closeness coefficients to gauge how similar the alternatives are to the ideal solutions and ultimately ranking the alternatives on the basis of these coefficients [38][39][40][41][42].…”

Section: Fuzzy Topsis Methodsmentioning

confidence: 99%

“…A key step in validating the outcomes provided in this research paper concerning the assessment of sustainability in the software engineering sector within the setting of Industry 5.0 is the comparison of the fuzzy TOPSIS and analytic hierarchy process (AHP) techniques. We may discover more about the consistency, reliability and resilience of the outcomes through the comparison of the rankings derived from these two different evaluation methodologies [40][41][42][43][44][45].…”

Section: Comparative Analysismentioning

confidence: 99%

A Fuzzy-TOPSIS-Based Approach to Assessing Sustainability in Software Engineering: An Industry 5.0 Perspective

Anbarkhan

2023

Sustainability

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New possibilities and challenges have evolved in the setting of the software engineering sector’s rapid transition to Industry 5.0, wherein sustainability takes centre stage. Appropriate evaluation approaches are required for analysing the long-term viability of software engineering practices within this paradigm. This study proposes an innovative approach to evaluating sustainability in software engineering within Industry 5.0 by utilising the fuzzy technique for order of preference by similarity to ideal solution (fuzzy TOPSIS) methodology. The fuzzy TOPSIS approach is effective at accounting for the inherent uncertainties as well as imprecisions related to sustainability assessments, allowing for informed decision-making. This approach helps in the recognition of the most sustainable software engineering practices in Industry 5.0 by taking into account a defined set of sustainability parameters. We rigorously analyse the current literature and expert views to provide an extensive set of relevant sustainability standards for the area of software engineering. Following that, we develop an evaluation methodology based on fuzzy TOPSIS that can handle the subjectivity as well as fuzziness inherent in sustainability evaluations. A case study with a software development company functioning in Industry 5.0 demonstrates the utility and efficacy of our suggested framework. The case study outcomes reveal the benefits and drawbacks of various software engineering methodologies in terms of sustainability. The study’s findings provide substantial information for decision-makers in the software engineering field, assisting them in making educated decisions about sustainable. Finally, this study helps to establish environmentally and socially appropriate techniques within the context of Industry 5.0.

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“…While previous studies have made efforts to identify and rank various risks associated with nuclear decommissioning projects [9][10][11][12], there remains a notable gap in the literature concerning the systematic prioritization of these risks to aid decision-making regarding both structural aspects and worker safety. The absence of a systematic approach to risk assessment in prior research raises significant concerns regarding the effectiveness and comprehensiveness of risk management strategies in nuclear decommissioning pro-jects.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In this regard, previous studies have attempted to identify and rank many risks including waste management, safety, radiological, etc. [9][10][11][12] However, there has not been an extensive study that systematically ranks (prioritizes) the elements of risks to assist in making decisions regarding both the structural aspects and the safety of workers involved. Previous research by [13] emphasized the importance of systematic risk assessment in nuclear decommissioning projects, highlighting that such projects involve numerous hazards and complexities that must be carefully managed.…”

Section: Introductionmentioning

confidence: 99%

Risk Evaluation of Radioactive Concrete Structure Decommissioning in Nuclear Power Plants Using Fuzzy-AHP

Moon,

Mirmotalebi,

Jang

et al. 2024

Buildings

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Over 50% of nuclear power plants (NPPs) worldwide have operated for over three decades, leading to a surge in decommissioning projects. This study addresses the gap in current guidelines by analyzing risks in nuclear decommissioning. Using the fuzzy-AHP technique, tasks within dismantling radioactive concrete structures are prioritized. Findings reveal structural and human-related risks across five main cutting tasks. Collision emerges as a significant concern, particularly during wire saw installation and concrete block hoisting hole creation. Subcategory risk priorities highlight variations in risk across tasks, with jamming, falling, and falling objects identified as top concerns during wire saw transportation. This study emphasizes the importance of comprehensive risk assessment in enhancing safety during decommissioning. It underscores the need to consider both physical risks and risks to personnel throughout the process. By prioritizing safety, stakeholders can ensure worker safety and operational efficiency while minimizing hazards. This research contributes to standardized safety protocols for nuclear decommissioning worldwide, aligning with sustainable energy practices. The outcomes offer practical insights for safety manual development and decision-making processes. This study represents progress in ensuring safety during nuclear decommissioning, paving the way for further refinement of safety protocols and guidelines tailored to decommissioning sites.

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Fuzzy TOPSIS-based risk assessment model for effective nuclear decommissioning risk management

Cited by 29 publications

References 14 publications

Factors and evaluation models for the development of new energy electric vehicles in China

Factors and evaluation models for the development of new energy electric vehicles in China

A Fuzzy-TOPSIS-Based Approach to Assessing Sustainability in Software Engineering: An Industry 5.0 Perspective

Risk Evaluation of Radioactive Concrete Structure Decommissioning in Nuclear Power Plants Using Fuzzy-AHP

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