Research on the risk evaluation of urban wastewater treatment projects based on an improved fuzzy cognitive map

Chen, Hongyu; Wang, Jingyi; Feng, Zongbao; Liu, Yang; Xu, Wen; Qin, Yawei

doi:10.1016/j.scs.2023.104796

Cited by 10 publications

(1 citation statement)

References 56 publications

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“…With this regard, FCM is a powerful and well-recognized tool that has been underutilized in this domain. For example, the literature offers plenty of FCM-based applications connected with risk management in such fields as environmental engineering [31,32], healthcare [33], and policies and regulations [34], among others. This approach was also implemented and validated for risk analysis in airport contexts [35], but not with specific reference to occupational safety risks, our field of application.…”

Section: Research Gapmentioning

confidence: 99%

A Recommendation System Supporting the Implementation of Sustainable Risk Management Measures in Airport Operations

Carpitella,

Brentan,

Certa

et al. 2023

Algorithms

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This paper introduces a recommendation system aimed at enhancing the sustainable process of risk management within airport operations, with a special focus on Occupational Stress Risks (OSRs). The recommendation system is implemented via a flexible Python code that offers seamless integration into various operational contexts. It leverages Fuzzy Cognitive Maps (FCMs) to conduct comprehensive risk assessments, subsequently generating prioritized recommendations for predefined risk management measures aimed at preventing and/or reducing the most critical OSRs. The system’s reliability has been validated by iterating the procedure with diverse input data (i.e., matrices of varying sizes) and measures. This confirms the system’s effectiveness across a broad spectrum of engineering scenarios.

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