A survey on anomalous behavior detection for elderly care using dense-sensing networks

S Deep, X Zheng, C Karmakar, D Yu… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
Facing the gradual ageing society, elderly people living independently are in need of
serious attention. In order to assist them to live in a safer environment, the increasing cost of …

UAV-based hyperspectral and ensemble machine learning for predicting yield in winter wheat

Z Li, Z Chen, Q Cheng, F Duan, R Sui, X Huang, H Xu - Agronomy, 2022 - mdpi.com
Winter wheat is a widely-grown cereal crop worldwide. Using growth-stage information to
estimate winter wheat yields in a timely manner is essential for accurate crop management …

A Modified TOPSIS Method Based on D Numbers and Its Applications in Human Resources Selection

L Fei, Y Hu, F Xiao, L Chen… - Mathematical Problems in …, 2016 - Wiley Online Library
Multicriteria decision‐making (MCDM) is an important branch of operations research which
composes multiple‐criteria to make decision. TOPSIS is an effective method in handling …

Belief function based decision fusion for decentralized target classification in wireless sensor networks

W Zhang, Z Zhang - Sensors, 2015 - mdpi.com
Decision fusion in sensor networks enables sensors to improve classification accuracy while
reducing the energy consumption and bandwidth demand for data transmission. In this …

Sensor fusion based on Dempster‐Shafer theory of evidence using a large scale group decision making approach

E Koksalmis, Ö Kabak - International Journal of Intelligent …, 2020 - Wiley Online Library
In group decision making (GDM), the quality of the solution relies primarily on the quality and
the expertize of decision makers. At that point, deriving the weights, which reflects their …

Collaborative fusion for distributed target classification using evidence theory in IoT environment

Y Zhang, Y Liu, Z Zhang, N Zhao - IEEE Access, 2018 - ieeexplore.ieee.org
As an efficient strategy, collaborative fusion can promote the classification performance
while decreasing data transmission energy consumption and bandwidth requirements. In …

Novel data fusion algorithm based on event-driven and Dempster–Shafer evidence theory

X Yu, F Zhang, L Zhou, Q Liu - Wireless Personal Communications, 2018 - Springer
When a new event occurs, the nodes in the neighborhood of the event sense and then send
many packets to the sink node. Such circumstances need their networks to be …

Urban object extraction using Dempster Shafer feature-based image analysis from worldview-3 satellite imagery

H Mojaddadi Rizeei, B Pradhan… - International Journal of …, 2019 - Taylor & Francis
ABSTRACT A detailed and up-to-date land use of the urban environment is essentially
required in many applications. Very high-resolution (VHR), Multispectral Scanner System …

Toward belief function-based cooperative sensing for interference resistant industrial wireless sensor networks

Z Zhang, W Zhang, HC Chao… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
In harsh and heterogeneous wireless environments, the communication reliability and
latency of industrial wireless sensor networks (IWSNs) seriously suffer from both intra-and …

Combination method of conflict evidences based on evidence similarity

W Bi, A Zhang, Y Yuan - Journal of Systems Engineering and …, 2017 - ieeexplore.ieee.org
Aiming at the problem that the traditional DempsterShafer (DS) evidence theory cannot deal
with conflicted evidences effectively and correctly, this paper points out that the key issue of …