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A direct approach for incomplete information systems

SPIE Proceedings, 2004
There 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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Rules in incomplete information systems

Information Sciences, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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THE ALGORITHM ON KNOWLEDGE REDUCTION IN INCOMPLETE INFORMATION SYSTEMS

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2002
Rough 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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Information Granules and Approximations in Incomplete Information Systems

2007 International Conference on Machine Learning and Cybernetics, 2007
In 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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Information storage and retrieval systems with incomplete information II

Fundamenta Informaticae, 1979
In 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 with homomorphism in incomplete information systems

2012 IEEE International Conference on Granular Computing, 2012
The 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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Attribute Reduction in Incomplete Information Systems

2011
Through 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), 2017
The 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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On multigranulation rough sets in incomplete information system

International Journal of Machine Learning and Cybernetics, 2011
Multigranulation rough set is a new and interesting topic in the theory of rough set. In this paper, the multigranulation rough sets approach is introduced into the incomplete information system. The tolerance relation, the similarity relation and the limited tolerance relations are employed to construct the optimistic and the pessimistic ...
Xibei Yang   +3 more
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System Embedding. Control under Incomplete Information

Automation and Remote Control, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bukov, V. N.   +2 more
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