Port resilience analysis based on the HHM-FCM approach under COVID-19

B Gu, J Liu - Ocean & Coastal Management, 2023 - Elsevier
Ports are critical for global trade as they serve as essential gateways for the movement of
cargo. To ensure uninterrupted transport services and minimize the impact of disruptive …

Understanding expectations from and capabilities of climate-economy models for measuring the impact of crises on sustainability

K Koasidis, T Koutsellis, G Xexakis, A Nikas… - Journal of Cleaner …, 2023 - Elsevier
The multi-faceted emergencies of our time (recession, pandemics, and international conflict)
can disrupt progress towards sustainable development goals (SDGs). While climate …

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

H Chen, J Wang, Z Feng, Y Liu, W Xu, Y Qin - Sustainable Cities and …, 2023 - Elsevier
To address the issues of ambiguous uncertainty and conflicting evidence in risk evaluation
of wastewater treatment public-private partnership (PPP) project, a risk evaluation approach …

Assessment of mine post-closure strategies by integrating evidential reasoning and fuzzy cognitive maps: Toward sustainable mining policy

M Samadi, E Bakhtavar, G Hu, K Hewage, R Sadiq - Resources Policy, 2023 - Elsevier
This study proposes a novel framework based on evidential reasoning and fuzzy cognitive
map to evaluate post-closure strategies for open-pit mine reclamation, with a focus on …

Prediction of human error probability under Evidential Reasoning extended SLIM approach: The case of tank cleaning in chemical tanker.

SI Sezer, E Akyuz, P Gardoni - Reliability Engineering & System Safety, 2023 - Elsevier
Critical shipboard operations are carried out on chemical tanker ships where human
performance is prominent. That is why the assessment of the human error probability (HEP) …

Towards improved multifactorial particle swarm optimization learning of fuzzy cognitive maps: A case study on air quality prediction

W Liang, Y Zhang, X Liu, H Yin, J Wang, Y Yang - Applied Soft Computing, 2022 - Elsevier
Fuzzy cognitive map (FCM) is a very simple, efficient, and powerful soft computing tool for
modeling and analysis of a complex system. Due to its simplicity and transparency, FCM has …

Probabilistic linguistic fuzzy cognitive maps: applications to the critical factors affecting the health of rural older adults

J Wu, Y Chen, Z Wang, G Hu, C Chen - BMC Medical Informatics and …, 2022 - Springer
Background Achieving healthy ageing has become the only way for China to alleviate the
pressure of ageing, especially in rural areas. However, the factors affecting the health of …

Learning high-order fuzzy cognitive maps via multimodal artificial bee colony algorithm and nearest-better clustering: Applications on multivariate time series …

Z Li, X Liu, Y Zhang, J Qin, WX Zheng… - Knowledge-Based Systems, 2024 - Elsevier
As an effective soft computing method, fuzzy cognitive maps (FCMs) have been successfully
utilized to process time series prediction problems. However, FCM-based time series …

Analytical generalized combination rule for evidence fusion

YW Du, JJ Zhong, YM Wang - Information Sciences, 2024 - Elsevier
The core of evidence theory is the combination algorithm, which can be divided into two
categories: the recursive combination algorithm and the analytical combination algorithm …

[HTML][HTML] 不确定性信息表示及推理

王杰, 周志杰, 胡昌华, 张朋, 赵导 - 控制与决策, 2023 - kzyjc.alljournals.cn
在基于数据的复杂系统建模过程中, 各种不确定性信息普遍存在. 一般而言, 客观系统的随机性与
人类认知的模糊性构成了不确定性的最基本内涵. 为了对不确定性信息进行形式化的描述 …