Analysing the effects of liquefaction on capsizing through integrating interpretive structural modelling (ISM) and fuzzy Bayesian networks (FBN)

Şakar, Cenk; Köseoğlu, Burak; Töz, Ali Cemal; Büber, Müge

doi:10.1016/j.oceaneng.2020.107917

Cited by 28 publications

(16 citation statements)

References 26 publications

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“…ISM method is an effective method to analyze the complex systems in engineering area, which was firstly raised by Professor J. Warfield from the United States, and now this method is also widely applied in social economic area [6]. It combines both the qualitative analysis and the quantitative calculation to simplify the complex system effectively by making full use of experts' experience and the computer technology, which facilitates the further study of the complicated system.…”

Section: Methodsmentioning

confidence: 99%

Analysis of Factors Influencing the Comprehensive Benefits of International Electric Power Project under EPC Mode Based on Interpretative Structure Model

Wang¹,

Wu²,

Lou³

et al. 2023

Proceedings of the 4th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2022, December

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With the further expansion of China's "Belt and Road" initiative, the Chinese enterprises are being more and more active in the overseas market in recent years. Take the power industry for example, large number of Chinese engineering companies have developed their own systematic construction framework for different type of projects in domestic market. But challenges and problems may occur once the present domestic mode is directly applied to the international projects. And it also is the main uncertainty or risk faced by the Chinese enterprises when carrying out the international projects at present stage. Under this background, this paper takes the international electric power project under EPC mode (Engineering, Procurement and Construction) as the research object and the Interpretation Structure Model (ISM) is applied to analyze the potential risk factors which may affect the economic benefit and the social benefit during the implementation of these projects by Chinese enterprise. Through carrying out the comprehensive identification of those potential risk factors, this paper aims at providing a more visualized structure to show all kinds of potential risks and their corresponding impact mechanism for the Chinese contractors, which can reduce the risk level or the potential damages effectively when carrying out the related projects in overseas markets.

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Section: Methodsmentioning

confidence: 99%

Analysis of Factors Influencing the Comprehensive Benefits of International Electric Power Project under EPC Mode Based on Interpretative Structure Model

Wang¹,

Wu²,

Lou³

et al. 2023

Proceedings of the 4th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2022, December

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show abstract

“…The ISM approach assists in finding various relationships in complicated situations when the relationship consists of different variables [39,40]. Several scholars have used this method to construct a better conceptual framework for the system under examination [41][42][43][44][45]. Figure 2 explains the steps taken by the ISM methodology to determine the connection between RE security practices categorization.…”

Section: Step-3 Ism Approachmentioning

confidence: 99%

Evaluation of Requirement Engineering Best Practices for Secure Software Development in GSD: An ISM Analysis

Khan

Akbar

Rafi

et al. 2023

Preprint

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Technological advancement makes the world a global village. The immense use of software systems has modernized human society in every aspect. Thus, the security parameter is an important element that needs to be considered while developing software systems. Considering the significance of software security, it is important to consider the security practices from the early phase of the software development life cycle (SDLC), i.e., requirements engineering (RE). Hence, this study aims to identify and categorize RE practices important to apply for secure software development (SSD) in a geographically distributed development environment. To study the RE practices concerning SSD, we conducted a questionnaire survey with industrial experts in the global software development (GSD) context. Furthermore, the interpretive structure modeling (ISM) approach was applied to evaluate the relationship between the RE security practice core categories. This paper identifies 70 practices and classifies them into 11 fundamental dimensions (categories) to assist GSD organizations in specifying the requirements for SSD. The ISM results show the “Awareness of Secure Requirement Engineering (SRE)” category has the most decisive influence on the other ten core categories of the identified RE security practices. With the help of empirical evidence and the ISM approach, this work attempts to identify potential security practices and to give a set of secure RE practices that can be used to improve the security of the software development process.

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“…Based on previous studies, the effectiveness of the model for IDE risk assessment based on FBN can be validated by from three criteria: variation connection, consistent effect, and cumulative limitation. (Aydin et al, 2021;Islam et al, 2019;Sakar et al, 2020;Ung, 2021).…”

Section: Validation Of the Proposed New Model Causal Inferencementioning

confidence: 99%

“…Replacing clear numbers with fuzzy numbers can help obtain more realistic results (Dağdeviren et al., 2008). Therefore, scholars integrated the traditional BN with fuzzy set theory to fuzzy Bayesian network (FBN) (Aydin et al., 2021; Li et al., 2019; Rallapalli et al., 2021; Ren et al., 2009; Sakar et al., 2020). FBN has been shown to be a useful and powerful tool for analyzing uncertain and ambiguous information and data (Li et al., 2019).…”

Section: Introductionmentioning

confidence: 99%

Risk assessment of infectious disease epidemic based on fuzzy Bayesian network

Qing

Liu

2023

Risk Analysis

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The prevention and control of infectious disease epidemic (IDE) is an important task for every country and region. Risk assessment is significant for the prevention and control of IDE. Fuzzy Bayesian networks (FBN) can capture complex causality and uncertainty. The study developed a novel FBN model, integrating grounded theory, interpretive structural model, and expert weight determination algorithm for the risk assessment of IDE. The algorithm is proposed by the authors for expert weighting in fuzzy environment. The proposed FBN model comprehensively takes into account the risk factors and the interaction among them, and quantifies the uncertainty of IDE risk assessment, so as to make the assessment results more reliable. Taking the epidemic situation of COVID‐19 in Wuhan as a case, the application of the proposed model is illustrated. And sensitivity analysis is performed to identify the important risk factors of IDE. Moreover, the effectiveness of the model is checked by the three‐criterion‐based quantitative validation method including variation connection, consistent effect, and cumulative limitation. Results show that the probability of the outbreak of COVID‐19 in Wuhan is as high as 82.26%, which is well‐matched with the actual situation. “Information transfer mechanism,” “coordination and cooperation among various personnel,” “population flow,” and “ability of quarantine” are key risk factors. The constructed model meets the above three criteria. The application potential and effectiveness of the developed FBN model are demonstrated. The study provides decision support for preventing and controlling IDE.

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Analysing the effects of liquefaction on capsizing through integrating interpretive structural modelling (ISM) and fuzzy Bayesian networks (FBN)

Cited by 28 publications

References 26 publications

Analysis of Factors Influencing the Comprehensive Benefits of International Electric Power Project under EPC Mode Based on Interpretative Structure Model

Analysis of Factors Influencing the Comprehensive Benefits of International Electric Power Project under EPC Mode Based on Interpretative Structure Model

Evaluation of Requirement Engineering Best Practices for Secure Software Development in GSD: An ISM Analysis

Risk assessment of infectious disease epidemic based on fuzzy Bayesian network

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