Results 11 to 20 of about 1,080 (95)

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

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

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 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

[Retracted] Fuzzy Logic System Implementation on the Performance Parameters of Health Data Management Frameworks

Journal of Healthcare Engineering, Volume 2022, Issue 1, 2022., 2022
The development of wireless sensors and wearable devices has led health care services to the new paramount. The extensive use of sensors, nodes, and devices in health care services generate an enormous amount of health data which is generally unstructured and heterogeneous.
Sonali Vyas, Shaurya Gupta, Deepshikha Bhargava, Rajasekhar Boddu, Liaqat Ali   +4 more
wiley   +1 more source

In‐Service Power Transformer Life Time Prospects: Review and Prospects

Journal of Electrical and Computer Engineering, Volume 2022, Issue 1, 2022., 2022
Power transformers are essential assets in power system networks that must be meticulously monitored throughout their operational life cycle. Given that a substantial percentage of in‐service power transformers around the world have reached the end of their projected technical lifespan, utilities are adopting various transformer condition‐based ...
Edwell. T. Mharakurwa, Giovanni Lutzemberger   +1 more
wiley   +1 more source

Prediction of Karst Suitable Area Using Fuzzy AHP Method and Dempster‐Shafer Theory

Earth and Space Science, Volume 8, Issue 11, November 2021., 2021
Abstract Finding abundant sources of drinking water is a must in practically every country throughout the world. The issue is even more dire in arid and semi‐arid regions, such as Iran, where the shortage of healthy drinking water is quite serious. Finding and maintaining groundwater resources is therefore potentially the best alternative for supplying
M. Mokarram, P. Mohammadizadeh
wiley   +1 more source

Required mathematical properties and behaviors of uncertainty measures on belief intervals

International Journal of Intelligent Systems, Volume 36, Issue 8, August 2021., 2021
Abstract The Dempster–Shafer theory of evidence (DST) has been widely used to handle uncertainty‐based information. It is based on the concept of basic probability assignment (BPA). Belief intervals are easier to manage than a BPA to represent uncertainty‐based information.
Serafín Moral‐García, Joaquín Abellán   +1 more
wiley   +1 more source