Results 261 to 270 of about 1,388,038 (289)

Application of Data Decomposition to Incomplete Information Systems

2002
Many developed classification methods and knowledge discovery software, that were research subjects for years, suffer from the lack of possibility to handle data with missing attribute values. To adapt existing classification methods to incomplete information systems, we propose a decomposition method that allows more appropriate missing value ...
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MGRS in Incomplete Information Systems

2007 IEEE International Conference on Granular Computing (GRC 2007), 2007
Yuhua Qian, Jiye Liang, Chuangyin Dang
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Approximation Spaces and Definability for Incomplete Information Systems

1998
Incomplete information systems are approached here by general methods of rough set theory (see Pawlak [6, 7]). We define approximation spaces of incomplete information systems and study definability and strong definability of sets of objects.
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Knowledge granulation in incomplete information systems

2011 International Conference on System science, Engineering design and Manufacturing informatization, 2011
In this paper, a new measure of knowledge granulation for incomplete information systems is proposed, which is characterized by mathematical expectation of lengths of granules. We also discuss some important properties. From these properties, it can be shown that the proposed knowledge granulation provides important approaches to measuring the ...
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A Control Problem for Parabolic Systems with Incomplete Information

2019
In this paper, abstract parabolic control systems in Hilbert space are considered. The state of the system is unknown, but there is an equation of measurement in discrete times. The initial state and disturbances are restricted by joint integral constraints.
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Complete and Incomplete Knowledge in Logical Information Systems

2001
We present a generalization of logic All I Know by presenting it as an extension of standard modal logics. We study how this logic can be used to represent complete and incomplete knowledge in Logical Information Systems. In these information systems, a knowledge base is a collection of objects (e.g., files, bibliographical items) described in the same
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Integrated Study in Incomplete Information System

2009 International Conference on Artificial Intelligence and Computational Intelligence, 2009
Both rough set theory and D-S evidence theory are important methods in uncertainty reasoning, and each one has its own advantages and disadvantages. Incomplete information system exists widely in real life. In this paper, two theories are used in combination to study the incomplete information system.
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Interval-valued fuzzy discernibility pair approach for attribute reduction in incomplete interval-valued information systems

Information Sciences, 2023
Jianhua Dai, Jingqian Wang
exaly  

Incomplete information in database systems

1980 19th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes, 1980
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Neighborhood multi-granulation rough sets-based attribute reduction using Lebesgue and entropy measures in incomplete neighborhood decision systems

Knowledge-Based Systems, 2020
Lin Sun, Lanying Wang, Weiping Ding
exaly