Results 1 to 10 of about 654,687 (308)
Information Fusion in a Multi-Source Incomplete Information System Based on Information Entropy
As we move into the information age, the amount of data in various fields has increased dramatically, and data sources have become increasingly widely distributed.
Mengmeng Li, Xiaoyan Zhang
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Incomplete information system andits optimal selections
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhang, Wen-Xiu, Mi, Ju-Sheng
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Information Structures in an Incomplete Interval-Valued Information System
An incomplete interval-valued information system (IIVIS) is an information system (IS) in which the information values are interval numbers with missing values. This article researches information structures in an IIVIS.
Jiasheng Zeng +3 more
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Information structures in an incomplete information system: A granular computing viewpoint [PDF]
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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Competition on distributed generation (DG) investments among multiple stakeholders in a distribution system results in incompleteness of market information, in which each stakeholder does not have full knowledge on investment and operation decisions of ...
Yi Liu +8 more
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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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Networked Systems with Incomplete Information [PDF]
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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Attribute Reduction in an Incomplete Interval-Valued Decision Information System
An incomplete interval-valued decision information system (IIVDIS) is a significant type of data decision table, which is ubiquitous in real life. Interval value is a form of knowledge representation, and it seems to be an embodiment of the uncertainty ...
Yiying Chen, Zhaowen Li, Gangqiang Zhang
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Maximum Consistent Block Based Variable Precision Rough Set Model and Attribute Reduction
In this paper, attribute reduction of incomplete information system is studied. Firstly, optimistic and pessimistic generalized variable precision rough set models based on maximal consistent blocks are constructed.
SUN Yan, MI Jusheng, FENG Tao, LI Leijun, LIANG Meishe
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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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