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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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On multigranulation rough sets in incomplete information system
International Journal of Machine Learning and Cybernetics, 2011Multigranulation 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, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bukov, V. N. +2 more
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Fuzziness in incomplete information systems
Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826), 2005A rough membership function in the incomplete information systems is introduced. We also define the concept of a rough membership function in a incomplete decision table. It is a generalization of the classical rough membership function of Pawlak rough sets. Some basic properties of the measure are examined, and two examples are illustrated for the use
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DRSA and reductions in incomplete fuzzy information system
International Journal of Granular Computing, Rough Sets and Intelligent Systems, 2009Although many extended rough set models have been successfully applied into the incomplete information system, most of them do not take the incomplete information system with initial fuzzy data into account. This paper thus presents a general framework for the study of dominance-based rough set approach to the incomplete fuzzy information systems ...
Lihua Wei +3 more
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Soft ordered approximations and incomplete information system
Journal of Intelligent & Fuzzy Systems, 2019The present paper aims to initiate the study of multi attribute group decision making in the presence of incomplete multi attribute and incomplete multi decision while making a decision with preferences in an incomplete information system. The concept of soft preference relation and soft dominance relation corresponding to decision attribute in ...
Abbas Ali +3 more
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Characteristic Relations in Generalized Incomplete Information System
First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008), 2008In spite the fact that compatibility relation and similarity relation consider 'do not care' data as lost data, they were introduced to rough set to deal with incomplete information system. Incomplete information system in which 'do not care' data coexists with lost data, this article studies characteristic relation and discusses the unreasonable state
Yunsong Qi +4 more
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A Complete Method to Incomplete Information Systems
2007In the paper, we present a novel method for handling incomplete information systems. By the proposed method we can transform an incomplete information system into a complete set-value information system without loss any information, and we discuss the relationship between the reducts of incomplete information system and the reducts of it's complements.
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System reliability calculations based on incomplete information
IEEE Transactions on Systems, Man, and Cybernetics, 1993In large computer or communication networks, there are sometimes components that do not fail independently to each other, such that the dependencies among them are only partially known. To address the problem of estimating the reliability of such groups of components, we show how the maximum entropy principle can be used to calculate the probability of
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