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Rough set approach to incomplete information systems
Information Sciences, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Marzena Kryszkiewicz
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Interval Granules in Incomplete Information Systems
Advanced Materials Research, 2011 Rough set theory is an efficient mathematical theory for data reduction and knowledge discovery of various fields. However, classical rough set theory is not applicable for knowledge induction of incomplete information systems. In this paper, a concept of interval granule is presented.
Xiao Hui Chen, Ren Pu Li, Zhi Wang Zhang
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Information structures in an incomplete real-valued information system
Journal of Intelligent & Fuzzy Systems, 2019An information system as a database that shows relationships between objects and attributes is a crucial mathematical model in the field of artificial intelligence. A real-valued information system is an information system where information function values of each attribute are real numbers.
Jiasheng Zeng, Jiali He, Rongping Chen
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THE ALGORITHM ON KNOWLEDGE REDUCTION IN INCOMPLETE INFORMATION SYSTEMS
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2002Rough set theory is emerging as a powerful tool for reasoning about data, knowledge reduction is one of the important topics in the research on rough set theory. It has been proven that finding the minimal reduct of an information system is a NP-hard problem, so is finding the minimal reduct of an incomplete information system.
Jiye Liang, Zongben Xu
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A direct approach for incomplete information systems
SPIE Proceedings, 2004There are already some extensions of rough set theory for incomplete information systems, such as tolerance relation, limited tolerance relation, similarity relation, and etc. But there are no approaches and algorithms for these extensions. A direct approach for processing incomplete information systems is developed in this paper, including ...
Hai Huang, Guoyin Wang 0001, Yu Wu 0001
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Information Granules and Approximations in Incomplete Information Systems
2007 International Conference on Machine Learning and Cybernetics, 2007In this paper three types of information granular structures, called similarity classes, maximal consistent blocks, and labeled blocks, in incomplete information systems are introduced. Their properties are examined. Based on the three structures of granules, three types of rough set approximation models are derived for mining of certain and possible ...
Wei-Zhi Wu, Xiao-Ping Yang
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Attribute reduction with homomorphism in incomplete information systems
2012 IEEE International Conference on Granular Computing, 2012The notion of homomorphism is used as a tool to deal with attribute reduction in incomplete information systems. In this paper, we define a tolerance relation on the universe of discoures U, and the tolerance classes which are created by the tolerance relation can form a cover of U.
Xiao-Juan Liu, Ju-Sheng Mi
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Information storage and retrieval systems with incomplete information II
Fundamenta Informaticae, 1979In the paper is developed a theory of information storage and retrieval systems which arise in situations when a whole possessed information amounts to a fact that a given document has some feature from properly chosen set. Such systems are described as suitable maps from descriptor algebras into sets of subsets of sets of documents.
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Attribute Reduction in Incomplete Information Systems
2011Through changing the equivalence relation of objects to reflexive and symmetric binary relation in the incomplete information system, a cumulative variable precision rough set model is proposed. The basic properties of β lower and β upper cumulative approximation operators are investigated.
Shibao Sun, Jianhui Duan, Dandan Wanyan
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Servo systems with incomplete information
2017 International Siberian Conference on Control and Communications (SIBCON), 2017The problem of control design formation is considered with a modification use of the local quadratic criterion, which allows to keep a part of vector component of the given state. Kalman's filter is used in order to assess the state of the object model The results of control system simulation for non-stationary model of the ship are given while ...
G. N. Reshetnikova +3 more
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