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A Prioritized Information Fusion Method for Handling Fuzzy Decision-Making Problems
Springer Science and Business Media LLC - Tập 22 - Trang 219-232 - 2005
Although Yager has presented a prioritized operator for fuzzy subsets, called the non-monotonic operator, it can not be used to deal with multi-criteria fuzzy decision-making problems when generalized fuzzy numbers are used to represent the evaluating values of criteria. In this paper, we present a prioritized information fusion algorithm based on the similarity measure of generalized fuzzy number...... hiện toàn bộ
Semantic-consistent learning for one-shot joint entity and relation extraction
Springer Science and Business Media LLC -
The University of Texas at Arlington Autonomous Aerial Vehicle—An overview
Springer Science and Business Media LLC - Tập 2 - Trang 299-320 - 1992
This paper reports on the status of The University of Texas at Arlington student effort to design, build and fly an Autonomous Aerial Vehicle. Both the 1991 entry into the First International Aerial Robotics Competition as well as refinements being made for 1992 are described. Significant technical highlights include a real-time vision system for target objective tracking, a real-time ultrasonic l...... hiện toàn bộ
Design of fuzzy hyperbox classifiers based on a two-stage genetic algorithm and simultaneous strategy
Springer Science and Business Media LLC - Tập 54 Số 2 - Trang 1426-1444 - 2024
A stable data-augmented reinforcement learning method with ensemble exploration and exploitation
Springer Science and Business Media LLC - Tập 53 - Trang 24792-24803 - 2023
Learning from visual observations is a significant yet challenging problem in Reinforcement Learning (RL). Two respective problems, representation learning and task learning, need to solve to infer an optimal policy. Some methods have been proposed to utilize data augmentation in reinforcement learning to directly learn from images. Although these methods can improve generation in RL, they are oft...... hiện toàn bộ
A structure for predicting wind speed using fuzzy granulation and optimization techniques
Springer Science and Business Media LLC - - 2024
With the increasing scarcity of global energy, the rapid development of science and technology, and the growing demand for environmental protection, wind energy is receiving increasing attention as the cleanest source of energy. Due to its pollution-free nature and widespread availability, it has become a preferred source of electricity generation in many countries. However, wind speed prediction ...... hiện toàn bộ
Intuitive distance for intuitionistic fuzzy sets with applications in pattern recognition
Springer Science and Business Media LLC - Tập 48 Số 9 - Trang 2792-2808 - 2018
A spatiotemporal fusion method based on interpretable deep networks
Springer Science and Business Media LLC - Tập 53 - Trang 21641-21659 - 2023
Remote sensing spatiotemporal fusion is currently a popular research field in remote sensing that can cost-effectively generate remote sensing images with high spatiotemporal resolution. The deep neural network-based approach has strong feature extraction capability and has achieved great success in the fields of signal and image processing, but the deep network lacks interpretability. In this pap...... hiện toàn bộ
A specification language for organisational performance indicators
Springer Science and Business Media LLC - Tập 27 - Trang 291-301 - 2007
A specification language for performance indicators and their relations and requirements is presented and illustrated for a case study in logistics. The language can be used in different forms, varying from informal, semiformal, graphical to formal. A software environment has been developed that supports the specification process and can be used to automatically check whether performance indicator...... hiện toàn bộ
Winding pathway understanding based on angle projections in a field environment
Springer Science and Business Media LLC - Tập 53 - Trang 16859-16874 - 2022
Scene understanding is a core problem for autonomous navigation. However, its implementation is frustrated by a variety of unsettled issues, such as understanding winding pathways in unknown, dynamic, and field environments. Traditional three-dimensional (3D) estimation from 3D point clouds or fused data is memory intensive and energy-consuming, which makes these approaches less reliable in a reso...... hiện toàn bộ
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