Article
Computer Science, Artificial Intelligence
Manish Aggarwal
Summary: New entropy functions based on an agent's perceived uncertainty are formulated in this paper, highlighting the role of the decision-maker's attitude. The study introduces new attitude-based variants of probabilistic entropies and extends existing fuzzy entropies to consider the agent's specific attitude. The proposed entropy functions are shown to have wide applicability in multi criteria decision making.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Computer Science, Artificial Intelligence
Andrey Zhitnikov, Vadim Indelman
Summary: This paper proposes a simplification framework to address the increased complexity of decision-making algorithms, with a focus on risk-aware objectives. The framework includes novel stochastic bounds on the return and considers the correlation between returns. The paper also presents a risk averse objective and a tool called the probabilistic loss (PLoss) to characterize the simplification impact. Extensive simulations demonstrate the advantages of the approach.
ARTIFICIAL INTELLIGENCE
(2022)
Article
Automation & Control Systems
Manish Aggarwal
Summary: This study analyzes uncertainty in real-world decision making and introduces a new entropy function specifically designed for human decision-making. The proposed function takes into account an agent's sensitivity to uncertainty and can handle both subjective and probabilistic uncertainties, with practical applications in portfolio diversification highlighted in a real case study.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2021)
Article
Engineering, Civil
Kai Yang, Boqi Li, Wenbo Shao, Xiaolin Tang, Xiaochuan Liu, Hong Wang
Summary: This paper proposes a risk-aware decision-making (RADM) framework to handle the epistemic uncertainty of prediction models due to insufficient training data. The framework utilizes a multi-agent prediction network with uncertainty quantification and model predictive control technique to process the prediction results and consider the uncertainty. Experimental results demonstrate that RADM can reduce driving risk and improve safety.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Green & Sustainable Science & Technology
Christian Enyoghasi, Fazleena Badurdeen
Summary: This paper proposes a methodology for total lifecycle risk likelihood assessment in sustainable product design decision making. The methodology includes risk identification, risk analysis, and risk evaluation, and utilizes Bayesian Belief Network (BBN) to assess the influence of risks on product performance. A new metric, the Operational Risk Index (ORI), is developed for risk evaluation. An industrial case study is used to demonstrate the application of the methods.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Engineering, Electrical & Electronic
Yisong Wang, Chunyan Wang, Wanzhong Zhao, Can Xu
Summary: This paper proposes a decision-making and planning method for autonomous vehicles based on motivation and risk assessment, which can flexibly adjust path and speed, and make effective driving behavior decisions in real-time environments.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Environmental Sciences
Emanuela Bianchi Janetti, Monica Riva, Alberto Guadagnini
Summary: This study presents a comprehensive framework for the protection of natural springs and probabilistic risk assessment in uncertain groundwater system characterizations. The research focuses on a regional-scale hydrogeological setting in Northern Italy, with high-quality springs forming a unique system of critical importance. By considering uncertainties in model parameters and conceptual models, the study quantifies the risk of system failure due to various groundwater extraction strategies and identifies the most vulnerable springs.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Psychology, Multidisciplinary
Lace M. K. Padilla, Maia Powell, Matthew Kay, Jessica Hullman
Summary: This study focuses on two different types of uncertainty classification - direct quantitative uncertainty and indirect qualitative uncertainty. Results from multiple studies suggest that participants update their judgments when dealing with these two types of uncertainties, and it is recommended that forecasters present qualitative expressions of model confidence whenever possible alongside quantified uncertainty.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Business, Finance
Catalin Dragomirescu-Gaina, Dionisis Philippas, Mike G. Tsionas
Summary: Active fund managers may improve market timing performance by making quick portfolio adjustments backed by rough estimates, but oversimplification could lead to inability to profit in calm markets. Selecting accuracy levels upfront through different data-filtering techniques can expose a trade-off between prediction accuracy and reaction speed across hedge funds' investment styles. Less accurate predictions may speed up reactions to unexpected changes in uncertainty and risk measures, as shown in empirical analysis and complemented by simulation exercises.
INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS
(2021)
Article
Green & Sustainable Science & Technology
Yang Zhou, Bing Li, Jingcheng Han, Guojian He, Keyi Wang, Chunjiang An, Yuefei Huang
Summary: Increasing water-use efficiency is crucial for sustainable water management, especially in agriculture, which is the dominant sector for water use. This study proposes a multi-objective decision support model tool that considers risks and robustness to explore water-efficient agricultural development schemes and assess their environmental impacts. The tool integrates economic growth, water use objectives, and pollution control requirements to provide insights into the trade-offs between resource efficiency and environmental impact. A case study in a Chinese city demonstrates how the tool can reduce water usage in agriculture while improving economic productivity. The results suggest that stricter phosphorus control requirements can lead to better pollution control in the agricultural system. Overall, this tool showcases the applicability of using a systems analysis approach to guide the transition towards water-efficient and low-impact agricultural practices.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Computer Science, Artificial Intelligence
Pawel Ziemba, Mateusz Piwowarski, Kesra Nermend
Summary: This article analyzes the functionality of Google Workspace for Education and Microsoft Office 365, the two most popular systems for remote learning. A new method called NEAT F-PROMETHEE GDSS was developed to evaluate the software based on subjective judgments and qualitative criteria. The assessment found that all variants of both systems meet the basic requirements for remote learning tools. Google Workspace for Education Plus was ranked as the best system in terms of offered capabilities and cost of use.
APPLIED SOFT COMPUTING
(2023)
Article
Transportation Science & Technology
Guofa Li, Yifan Yang, Tingru Zhang, Xingda Qu, Dongpu Cao, Bo Cheng, Keqiang Li
Summary: The paper proposed a risk assessment based decision-making algorithm for collision avoidance in autonomous vehicles, using a probabilistic-model based situation assessment module and a collision avoidance strategy with driving style preferences. Experimental results demonstrated the reliability of the algorithm in avoiding collisions in different scenarios, meeting the demands of various drivers and passengers, and improving the acceptance of autonomous vehicles.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Review
Environmental Sciences
Farooq Ahmad, Samar A. Abubshait, Haya A. Abubshait
Summary: Engineered nanomaterials (ENM) are extensively used in various industries due to their superior properties. These materials can enter the human body through different exposure routes, causing metabolic dysregulation. Advances in metabolomics technology allow us to study the metabolic disturbances induced by ENM.
Article
Biology
Stacey Aston, Marko Nardini, Ulrik Beierholm
Summary: Efficient decision-making requires accounting for sources of uncertainty, and while the nervous system can handle perceptual uncertainty well, it struggles with other types of uncertainty. This article reviews previous studies and presents an example showing how the nervous system accounts for different uncertainties in decision-making.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2023)
Article
Multidisciplinary Sciences
Julius Schlumberger, Marjolijn Haasnoot, Jeroen Aerts, Marleen de Ruiter
Summary: Climate change impacts are becoming increasingly complex and interrelated across sectors, requiring a comprehensive approach to support disaster risk management. The Dynamic Adaptive Policy Pathways approach can be applied to design disaster risk management pathways for multi-risk multi-sector systems, integrating knowledge and addressing multiple hazards.
Editorial Material
Ethics
Christian Buescher, Jutta Jahnel
Proceedings Paper
Ethics
Jutta Jahnel
EPIGENETICS: ETHICAL, LEGAL AND SOCIAL ASPECTS
(2017)
Proceedings Paper
Nanoscience & Nanotechnology
J. Jahnel, T. Fleischer, S. B. Seitz
NANOSAFE 2012: INTERNATIONAL CONFERENCES ON SAFE PRODUCTION AND USE OF NANOMATERIALS
(2013)
Article
Chemistry, Analytical
G Abbt-Braun, JB Jahnel
FRESENIUS JOURNAL OF ANALYTICAL CHEMISTRY
(2001)