Article
Green & Sustainable Science & Technology
Nafisa Mahbub, Maryam Garshasbi, Golam Kabir, Ahsan Akhtar Hasin
Summary: This study utilizes the Hierarchical Evidential Reasoning (HER) method to evaluate apparel industry productivity, identifying key measures to enhance productivity through comparison and sensitivity analysis. The results show that DBL Company in Bangladesh performs the best overall, which holds significant implications for organizations.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Automation & Control Systems
Nimisha Ghosh, Sayantan Saha, Rourab Paul
Summary: The importance of multisensor data fusion in engineering applications and its application in fault diagnosis are discussed in this paper. By proposing an improved combination rule, the problems caused by sensor data conflicts are effectively overcome.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2021)
Article
Automation & Control Systems
Kejun Wang, Wenqing Wang, Yabo Zhao, Bodi Yuan, Zirui Xiang
Summary: In multi-sensor fusion, the classical Dempster's Combination Rule may produce counter-intuitive results when handling uncertain and conflicting information. To address this issue, Ghosh and other scholars proposed a novel approach that utilizes Markov chain and ordered rules to model uncertainty in evidence theory, thereby reducing the effect of high-conflict evidence. By considering both the information amount and evidence support degree, the proposed method obtains the final credibility of evidence and uses weighted summation to combine new evidence. Numerical examples and case studies demonstrate the superior efficiency and robustness of the proposed method compared to existing multisensor fault diagnosis methods.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Computer Science, Artificial Intelligence
Kaiyi Zhao, Zeqiu Chen, Shulin Sun, Ruizhi Sun, Gang Yuan
Summary: This article introduces the application of the Dempster-Shafer evidence theory (DSET) in the fusion of multisource information and points out the issues with using Dempster's Combination Rule (DCR). To solve this problem, a new combination rule is proposed and its advantages over existing methods are demonstrated through experiments.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Computer Science, Information Systems
Yuan-Wei Du, Jiao-Jiao Zhong
Summary: This study establishes a generalized combination (GC) rule with both weight and reliability to address the infeasibilities in the evidential reasoning (ER) approach, showing superiority through numerical comparisons and discussions.
INFORMATION SCIENCES
(2021)
Article
Engineering, Manufacturing
Sazid Rahman, Niamat Ullah Ibne Hossain, Kannan Govindan, Farjana Nur, Mahathir Bappy
Summary: The increasing use of technology in manufacturing and supply chain sectors has made them more vulnerable to cyber threats. An assessment of cyber resilience in additive manufacturing (AM) supply chain is crucial, and a methodology based on hierarchical evidential reasoning and D-S theory has been proposed in this study for evaluation. A case study was conducted to validate the framework, showing reasonable results in assessing the cyber resilience state of an additive manufacturing organization.
CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY
(2021)
Article
Computer Science, Artificial Intelligence
Shenshen Bai, Longjie Li, Xiaoyun Chen
Summary: This study proposes a new method for fusing conflicting evidence by defining a new evidence distance metric and computing weights. It aims to address the issue of counter-intuitive results when using the classical Dempster's rule with highly conflicting evidence. Experimental results demonstrate that the proposed method is remarkably effective compared to other methods.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2022)
Review
Engineering, Civil
Zexuan Xu, Bill X. Hu
Summary: This paper reviews over thirty years of research and investigation in the Woodville Karst Plain (WKP) in northern Florida, representing the Floridan Aquifer system in the southeastern United States. The well-developed karst region with subsurface conduits connected to Wakulla Spring and a submarine spring, has been studied using numerical models to understand hydrogeologic processes. The site serves as a natural observatory for studies on groundwater flow, contaminant transport, and seawater intrusion in the karst subsurface system.
JOURNAL OF HYDROLOGY
(2021)
Article
Computer Science, Information Systems
Leihui Xiong, Xiaoyan Su, Hong Qian
Summary: This paper proposes a new evidence combination method based on the interaction among nodes in complex networks, which combines evidence efficiently using weighted average and Dempster's rule of combination, showing better performance through a numerical example.
INFORMATION SCIENCES
(2021)
Article
Agriculture, Multidisciplinary
Zahra Kayhomayoon, Sami Ghordoyee-Milan, Abolfazl Jaafari, Naser Arya-Azar, Assefa M. Melesse, Hamid Kardan Moghaddam
Summary: The paper proposes a new approach for groundwater level prediction in arid and semi-arid regions using simulation, clustering, and optimization tools. The approach was evaluated in a case study in northwest Iran and showed accurate performance in predicting groundwater levels and identifying influential variables for different clusters.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Article
Multidisciplinary Sciences
Yongchuan Tang, Yonghao Zhou, Xiangxuan Ren, Yufei Sun, Yubo Huang, Deyun Zhou
Summary: This paper proposed a new method for generating basic probability assignments (BPA) based on cosine similarity and belief entropy to address the fusion paradoxes when using Dempster's combination rule. The method measures the similarity between the test sample and BPA of each focal element using Mahalanobis distance, and then uses cosine similarity and belief entropy to adjust and generate a standard BPA. The effectiveness of the proposed method in solving classical fusion paradoxes and its rationality and efficiency were verified through numerical examples and classification experiments on datasets.
SCIENTIFIC REPORTS
(2023)
Article
Engineering, Aerospace
Peng Zhang, Zhijie Zhou, Shuaiwen Tang, Jie Wang, Guanyu Hu, Dao Zhao, You Cao
Summary: This paper proposes an Evidential Reasoning rule for Dependent Evidence combination (ERr-DE), and validates the practicality of this model through sensitivity analysis and numerical examples.
CHINESE JOURNAL OF AERONAUTICS
(2023)
Article
Computer Science, Hardware & Architecture
Kaiyi Zhao, Li Li, Zeqiu Chen, Jiayao Li, Ruizhi Sun, Gang Yuan
Summary: The Dempster-Shafer evidence theory is an effective method for uncertain reasoning and is widely used in multi-sensor data fusion. However, the time complexity of fusing multiple pieces of evidence using Dempster's combination rule is considerable, and existing implementations do not fully utilize the parallel performance of GPUs. In this study, a method based on event-based binary encoding and kernel functions on GPUs was developed, achieving a significant reduction in the time complexity of Dempster's rule.
JOURNAL OF SUPERCOMPUTING
(2023)
Editorial Material
Statistics & Probability
Thomas Augustin, Georg Schollmeyer
Summary: The paper illustrates the power of imprecise probabilities in statistics by clarifying important statistical paradoxes and discussing different conditioning rules. The authors characterize conditioning rules as envelopes of certain sets of conditional probabilities, suggesting generalizations that can be seen as compromise rules. The discussion also touches on the role of Choquet capacities of order 2 as statistical models and the potential of imprecise probabilities to cope with the multidimensional nature of uncertainty.
STATISTICAL SCIENCE
(2021)
Article
Environmental Sciences
Carl Steefel, Mengsu Hu
Summary: In this study, numerical experiments were used to analyze the behavior of reactive flow and transport in discrete intersecting fracture networks. The study focused on understanding how changes in physical and chemical properties due to reactions can affect flow connectivity, as well as how fracture networks in the Earth's critical zone contribute to carbon sequestration through mineral weathering reactions. The results showed that reaction-induced changes can significantly alter flow connectivity, especially at fracture intersections. Additionally, simulations of natural weathering reactions in fractured rocks revealed that the amount of carbon sequestration is modest, but the findings provide a useful baseline for designing efficient strategies for carbon trapping and mitigation.
WATER RESOURCES RESEARCH
(2022)