Results 241 to 250 of about 1,897,005 (287)
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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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Approximations and uncertainty measures in incomplete information systems
Information Sciences, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jianhua Dai, Qing Xu 0011
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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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A statistical approach to incomplete information in database systems
ACM Transactions on Database Systems, 1982There are numerous situations in which a database cannot provide a precise answer to some of the questions that are posed. Sources of imprecision vary and include examples such as recording errors, incompatible scaling, and obsolete data. In many such situations, considerable prior information concerning the imprecision exists and can be exploited to ...
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Formal concept analysis of incomplete information system
2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010Both concepts of information system and many-valued context are introduced and the incomplete information system (IIS) is processed. By adopting formal concept analysis, the many-valued context of the processed IIS is transformed into a one-valued one by adopting compound conceptual scaling in a many-valued context.
Jun Liu, Xiao-qiu Yao
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Generalized rules in incomplete information systems
1997In the paper we define a notion of a generalized decision rule in a system with incomplete information. A generalized rule may be indefinite. A definite generalized rule is called certain. A rule is defined as generalized in an incomplete system if it is generalized in every completion of the incomplete system.
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