Uncertainty And Intelligent Information Systems

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Title: Uncertainty And Intelligent Information Systems
Description: Intelligent systems are necessary to handle modern computer-based technologies managing information and knowledge. This book discusses the theories required to help provide solutions to difficult problems in the construction of intelligent systems. Particular attention is paid to situations in which the available information and data may be imprecise, uncertain, incomplete or of a linguistic nature. The main aspects of clustering, classification, summarization, decision making and systems modeling are also addressed. Topics covered in the book include fundamental issues in uncertainty, the rapidly emerging discipline of information aggregation, neural networks, Bayesian networks and other network methods, as well as logic-based systems.
Authors: Ronlad R Yager, Bernadette Bouchon-meunier, Christophe Marsala, Maria Rifqi, Enrique Miranda
Resource Type: eBook.
Subjects: Expert systems (Computer science)--Congresses, Uncertainty (Information theory)--Congresses
Categories: COMPUTERS / Artificial Intelligence / General
Database: eBook Collection (EBSCOhost)
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  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 521201
RelevancyScore: 1018
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1018.08020019531
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  Data: Uncertainty And Intelligent Information Systems
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  Data: Intelligent systems are necessary to handle modern computer-based technologies managing information and knowledge. This book discusses the theories required to help provide solutions to difficult problems in the construction of intelligent systems. Particular attention is paid to situations in which the available information and data may be imprecise, uncertain, incomplete or of a linguistic nature. The main aspects of clustering, classification, summarization, decision making and systems modeling are also addressed. Topics covered in the book include fundamental issues in uncertainty, the rapidly emerging discipline of information aggregation, neural networks, Bayesian networks and other network methods, as well as logic-based systems.
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  Data: <searchLink fieldCode="AR" term="%22Ronlad+R+Yager%22">Ronlad R Yager</searchLink><br /><searchLink fieldCode="AR" term="%22Bernadette+Bouchon-meunier%22">Bernadette Bouchon-meunier</searchLink><br /><searchLink fieldCode="AR" term="%22Christophe+Marsala%22">Christophe Marsala</searchLink><br /><searchLink fieldCode="AR" term="%22Maria+Rifqi%22">Maria Rifqi</searchLink><br /><searchLink fieldCode="AR" term="%22Enrique+Miranda%22">Enrique Miranda</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Expert+systems+%28Computer+science%29--Congresses%22">Expert systems (Computer science)--Congresses</searchLink><br /><searchLink fieldCode="DE" term="%22Uncertainty+%28Information+theory%29--Congresses%22">Uncertainty (Information theory)--Congresses</searchLink>
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      – Code: 006.33
        Scheme: ddc
        Type: prePub
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      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Expert systems (Computer science)--Congresses
        Type: general
      – SubjectFull: Uncertainty (Information theory)--Congresses
        Type: general
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      – TitleFull: Uncertainty And Intelligent Information Systems
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            NameFull: Ronlad R Yager
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2008
            – D: 04
              M: 02
              Type: profile
              Y: 2014
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            – Type: isbn-print
              Value: 9789812792341
            – Type: isbn-electronic
              Value: 9789812792358
          Titles:
            – TitleFull: Uncertainty And Intelligent Information Systems
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