Article
Computer Science, Artificial Intelligence
Constance Thierry, Arnaud Martin, Jean-Christophe Dubois, Yolande Le Gall
Summary: Crowdsourcing is the outsourcing of tasks to a diverse crowd of contributors, resulting in uneven quality of data. To address this issue, a method called MONITOR is proposed, which estimates the contributors' profiles and aggregates the collected data using belief functions to account for possible imperfections. MONITOR starts by estimating the contributor's profile based on their qualification and behavior. Experiments using real data collected from crowdsourcing campaigns show that MONITOR outperforms majority voting in terms of achieving a higher rate of correct answers after aggregation. This article contributes by introducing a model that considers both the qualification and behavior of contributors in profile estimation, as well as the weakening and aggregation of answers based on estimated profiles.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Andrea Campagner, Davide Ciucci, Carl-Magnus Svensson, Marc Thilo Figge, Federico Cabitza
Summary: This study examines the impact of Ground Truth quality on the performance of Machine Learning models, introducing three reduction concepts to handle this uncertainty and demonstrating that the proposed algorithms outperform state-of-the-art approaches in addressing this form of uncertainty.
INFORMATION SCIENCES
(2021)
Article
Physics, Multidisciplinary
Yu Zhang, Fanghui Huang, Xinyang Deng, Wen Jiang
Summary: The paper introduces a new method for measuring total uncertainty in BPAs from the perspective of maximum entropy requirement, which is able to quantify both dissonance and non-specificity in BPA for more accurate information fusion.
Article
Computer Science, Interdisciplinary Applications
Lu Wang, Guijie Li, Zhenzhou Lu, Kaixuan Fen
Summary: This paper defines the local sensitivity of FP (LS-FP) and proposes a universal algorithm to solve LS-FP, including three creative steps. The wide applicability, accuracy, and efficiency of the proposed algorithm to solve LS-FP are validated through several examples.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2021)
Article
Engineering, Industrial
Yimeng Sun, Ruozhen Qiu, Minghe Sun
Summary: This study considers a multi-period inventory management problem for a retailer offering limited-time discounts and having a joint service-level requirement under demand uncertainty. It proposes a double-layer iterative approach to solve the problem and maximize total profit while balancing the service level using a posteriori method and an affinely adjustable robust chance-constrained model.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Business, Finance
Xin Cui, Tingting Ma, Xiaochen Xie, John W. Goodell
Summary: We examine the impact of uncertainty of uncertainty (UOU) on corporate accounting conservatism and find a positive association. Mechanism analysis reveals that under UOU, creditors' demand for real information drives an increase in accounting conservatism. Further analysis shows that the effect of UOU is more pronounced in non-SOEs and firms with weak external monitoring mechanisms. Our study highlights the significant role of contract demand in corporate governance under uncertainty about levels of uncertainty.
FINANCE RESEARCH LETTERS
(2023)
Article
Engineering, Aerospace
Han Cai, Jeremie Houssineau, Brandon A. Jones, Moriba Jah, Jingrui Zhang
Summary: This article presents a flexible modeling framework for multitarget tracking based on outer probability measures. It introduces the concept of labeled uncertain finite set and utilizes it to derive a possibilistic analog of the $\delta$-generalized labeled multi-Bernoulli filter. The proposed method can account for both uncertainty in the multitarget system and epistemic uncertainty due to partial knowledge or ignorance.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Hui Yin, Jin Huang, Ye-Hwa Chen
Summary: This article introduces a new robust control design framework for uncertain mechanical systems, utilizing possibility theory in Lyapunov stability analysis and proposing possibility-based LSA. It presents a class of robust constraint-following controls and investigates optimal control parameter design considering both system performance and control cost.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Multidisciplinary Sciences
Jan C. van Ours
Summary: This paper examines the long-term developments in stadium attendance in professional football in the Netherlands, which have been influenced by socioeconomic factors and show a high correlation with other European leagues, particularly the English Premier League. This suggests that stadium attendance is affected by both national developments and common international trends in the interest in football matches.
Article
Computer Science, Artificial Intelligence
Gia Sirbiladze, Harish Garg, Bezhan Ghvaberidze, Bidzina Matsaberidze, Irina Khutsishvili, Bidzina Midodashvili
Summary: This paper presents a new approach to solve vehicle routing problems under extreme conditions, aiming to minimize decision-making risks through fuzzy modeling and bi-criteria partitioning model. Experimental results show that the proposed method can find all Pareto-optimal solutions from promising routes.
ARTIFICIAL INTELLIGENCE REVIEW
(2022)
Article
Economics
Han Bleichrodt, Paul van Bruggen
Summary: Higher-order risk preferences play a significant role in economic behavior and may exhibit a reflection effect. The findings suggest that higher-order risk preferences differ for gains and losses, contradicting the previous notion of a universal preference for combining good with bad or good with good.
REVIEW OF ECONOMICS AND STATISTICS
(2022)
Article
Energy & Fuels
Pedro Faria, Zita Vale
Summary: This paper proposes a methodology to address the uncertainty in consumer demand response and activates/deactivates different demand response programs during events to meet response targets.
Article
Engineering, Electrical & Electronic
Jeremie Houssineau
Summary: A modelling framework for multi-target tracking based on possibility theory is presented, which can handle the general lack of knowledge in real data. Variants of point process and intensity function are introduced and studied, leading to an analogue of the probability hypothesis density (PHD) filter. The proposed recursion shows advantages such as facilitating the introduction of observation-driven birth schemes and modelling the absence of information on the initial number of targets in the scene.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2021)
Article
Economics
Rajeev K. Goel, James R. Jones
Summary: The increasing use of vaccine passports has had both positive and negative impacts on markets, although not all businesses and governments currently require or utilize them. Due to the novelty of vaccine passports and the ongoing uncertainty of the pandemic, the full implications of their use have not been fully considered. This paper provides formal insights into the implications of vaccine passport usage based on established economic theory and offers recommendations for public policy.
MANAGERIAL AND DECISION ECONOMICS
(2022)
Article
Engineering, Mechanical
Utino Worabo Woju, A. S. Balu
Summary: Time-dependent failure possibility (TDFP) refers to the possibility of performance less than zero under fuzzy uncertainty in the given time interval. Failure possibility of structures gets accelerated by improper consideration of input variables, mathematical and structural models, and environmental factors.
ENGINEERING FAILURE ANALYSIS
(2022)
