Networked Systems with Incomplete Information [PDF]
Abstract and Applied Analysis, 2015 Copyright © 2015 Zidong Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Zidong Wang +4 more
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TFD-IIS-CRMCB: Telecom Fraud Detection for Incomplete Information Systems Based on Correlated Relation and Maximal Consistent Block [PDF]
Entropy, 2023 Telecom fraud detection is of great significance in online social networks. Yet the massive, redundant, incomplete, and uncertain network information makes it a challenging task to handle.
Ran Li +5 more
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Controlling Stochastic Sensitivity by Feedback Regulators in Nonlinear Dynamical Systems with Incomplete Information [PDF]
Mathematics, 2021 The problem of synthesis of stochastic sensitivity for equilibrium modes in nonlinear randomly forced dynamical systems with incomplete information is considered.
Irina Bashkirtseva
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Information structures in an incomplete information system: A granular computing viewpoint [PDF]
International Journal of Computational Intelligence Systems, 2018 Granular computing is a essential mathematical tool in artificial intelligence. An incomplete information system is an important model and its basic structures are information structures.
Guangji Yu
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Constrained tolerance rough set in incomplete information systems
CAAI Transactions on Intelligence Technology, 2021 The tolerance rough set is developed as one of the outstanding extensions of the Pawlak's rough set model under incomplete information, and the limited tolerance relation is developed to overcome the problem that objects leniently satisfy the tolerance ...
Renxia Wan, Duoqian Miao, Witold Pedrycz
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Journal of Intelligent Systems, 2023 Knowledge reduction of information systems is one of the most important parts of rough set theory in real-world applications. Based on the connections between the rough set theory and the theory of topology, a kind of topological reduction of incomplete ...
Li Changqing, Zhang Yanlan
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Attribute Reduction Algorithm for Incomplete Information Systems Based on Intuitive Fuzzy Pairs
IEEE Access, 2023 The current attribute reduction algorithms for information systems are difficult to handle imbalanced data with default values. Therefore, to address the shortcomings of traditional attribute reduction algorithms (ARAs) in incomplete information systems,
Weihan Li, Jianwei Guo
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International Journal of Applied Mathematics and Computer Science, 2022 This research is focused on decision-making problems with redundant and incomplete information under a fuzzy environment. Firstly, we present the definition of incomplete fuzzy soft sets and analyze their data structures.
Xia Sisi +3 more
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Inference of time irreversibility from incomplete information: Linear systems and its pitfalls
Physical Review Research, 2022 Data from experiments and theoretical arguments are the two pillars sustaining the job of modeling physical systems through inference. In order to solve the inference problem, the data should satisfy certain conditions that depend also upon the ...
D. Lucente +4 more
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Attribute Reduction in Incomplete Information System based on Rough Set Theory Using Fuzzy Imperialist Competitive Algorithm [PDF]
Journal of Information Technology Management, 2017 In recent years, rough set theory has been considered as a strong solution to solve artificial intelligence problem such as data mining. But, the classic rough set theory is not effective in the case of attribute reduction in incomplete information ...
Mohammad Ghanei Ostad +2 more
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