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- W832370975 abstract "AbstractThe main components of Zadeh’s scientific contribution are shown. In particular, his information granulation theory is considered in the context of sensor data mining. The concept of granule and granular structures are presented, mereo-logical approach to generating granules is developed, some ways of constructing and using granules in multi-valued logics are shown. Basic ideas of granular computing are discussed. Here the problem of sensor data mining is considered from the viewpoint of granular computing. The notion of logical pragmatics is clarified. The investigation of mathematical structures for data pragmatic analysis is associated with interpreting multi-valued logics and bilattices as formal pragmatics techniques. The concept of Belnap’s sensor is proposed, the combinations of Belnap’s sensors are discussed. Logical-algebraic models of communication between two sensors are constructed on the basis of bilattices. As a result, the map for dealing with different sensor data inconsistencies is introduced and algorithm for eliminating faults in sensor networks is suggested.KeywordsSensor NetworkSensor NodeGranular StructureHasse DiagramInformation GranulationThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
- W832370975 created "2016-06-24" @default.
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- W832370975 date "2014-01-01" @default.
- W832370975 modified "2023-09-25" @default.
- W832370975 title "Using Zadeh’s Granulation Concept: Granular Logics and Their Application to Sensor Data Analysis" @default.
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- W832370975 doi "https://doi.org/10.1007/978-3-319-06323-2_29" @default.
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