Results 11 to 20 of about 10,239,397 (160)

Modeling Partially Reliable Information Sources: A General Approach Based on Dempster-Shafer Theory [PDF]

, 2005
Combining testimonial reports from independent and partially reliable information sources is an important problem of uncertain reasoning. Within the framework of Dempster-Shafer theory, we propose a general model of partially reliable sources which ...
Hartmann, Stephan, Haenni, Rolf, Haenni, R, Rolf Haenni, Stephan Hartmann   +4 more
core   +4 more sources

A Fusion Recognition Method Based on Temporal Evidence Reasoning

Mathematical Problems in Engineering, Volume 2023, Issue 1, 2023., 2023
In order to improve the effectiveness of system decision‐making, the use of the evidence theory to identify target intentions has always been a research hotspot. In information fusion using the evidence theory, there are relatively few research studies on temporal domain evidence information fusion. Due to the obvious dynamic, sequential, and real‐time
Haibin Wang, Xin Guan, Xiao Yi, Ying Liu, Guidong Sun, Dragan Poljak   +5 more
wiley   +1 more source

Development of a hybrid AHP and Dempster-Shafer theory of evidence for project risk assessment problem [PDF]

, 2021
In this paper, a new hybrid AHP and Dempster-Shafer Theory of Evidence is presented for solving the problem of choosing the best project among a list of available alternatives while uncertain risk factors are taken into account.
Ahmad, Kamarul Arifin, Mohd Ariffin, Mohd Khairol Anuar, Supeni, Eris Elianddy, Albogami, Saad M.   +3 more
core   +1 more source

A Data Classifier Based on Maximum Likelihood Evidential Reasoning Rule

Mathematical Problems in Engineering, Volume 2023, Issue 1, 2023., 2023
In Dempster–Shafer evidence theory (DST), some classical evidence combination rules can be used to fuse the multiple pieces of evidence, respectively abstracted from different attributes (features) so as to increase the accuracy of multiattribute classification decision making.
Hong He, Xuelin Zhang, Xiaobin Xu, Zhongrong Li, Yu Bai, Fang Liu, Felix Steyskal, Georg Brunauer, Juan Frausto-Solis   +8 more
wiley   +1 more source

An Evidential Software Risk Evaluation Model

Mathematics, 2022
Software risk management is an important factor in ensuring software quality. Therefore, software risk assessment has become a significant and challenging research area.
Xingyuan Chen, Yong Deng
doaj   +1 more source

A Method for Analyzing Learning Sentiment Based on Classroom Time‐Series Images

Mathematical Problems in Engineering, Volume 2023, Issue 1, 2023., 2023
With the development of smart classrooms, analyzing students’ emotions for classroom learning is an effective means of accurately capturing their learning process. Although facial expression‐based emotion analysis methods are effective in analyzing classroom learning emotions, current research focuses on facial expressions and does not consider the ...
Zhaoyu Shou, Ning Zhu, Hui Wen, Jinghua Liu, Jianwen Mo, Huibing Zhang, Junwei Ma   +6 more
wiley   +1 more source

Combination for Conflicting Interval‐Valued Belief Structures with CSUI‐DST Method

Chinese Journal of Electronics, Volume 31, Issue 5, Page 980-990, September 2022., 2022
Since the basic probability of an interval‐valued belief structure (IBS) is assigned as interval number, its combination becomes difficult. Especially, when dealing with highly conflicting IBSs, most of the existing combination methods may cause counter‐intuitive results, which can bring extra heavy computational burden due to nonlinear optimization ...
Shuangming LI, Xin GUAN, Xiao YI, Guidong SUN   +3 more
wiley   +1 more source

A Novel Multi-Source Domain Adaptation Method with Dempster–Shafer Evidence Theory for Cross-Domain Classification

Mathematics, 2022
In this era of big data, Multi-source Domain Adaptation (MDA) becomes more and more popular and is employed to make full use of available source data collected from several different, but related domains.
Min Huang, Chang Zhang
doaj   +1 more source

A Belief Two‐Level Weighted Clustering Method for Incomplete Pattern Based on Multiview Fusion

Computational Intelligence and Neuroscience, Volume 2022, Issue 1, 2022., 2022
Incomplete pattern clustering is a challenging task because the unknown attributes of the missing data introduce uncertain information that affects the accuracy of the results. In addition, the clustering method based on the single view ignores the complementary information from multiple views.
Zong-fang Ma, Hui-xuan Zhao, Lei-hua Li, Lin Song, Hubert Cecotti   +4 more
wiley   +1 more source

[Retracted] Improving Recognition of Overlapping Activities with Less Interclass Variations in Smart Homes through Clustering‐Based Classification

Computational Intelligence and Neuroscience, Volume 2022, Issue 1, 2022., 2022
The systems of sensing technology along with machine learning techniques provide a robust solution in a smart home due to which health monitoring, elderly care, and independent living take advantage. This study addresses the overlapping problem in activities performed by the smart home resident and improves the recognition performance of overlapping ...
Muhammad Usman Sarwar, Labiba Fahad Gillani, Ahmad Almadhor, Manoj Shakya, Usman Tariq, Shakeel Ahmad   +5 more
wiley   +1 more source