Uncertainty Modeling in Knowledge Engineering and Decision Making

Nonfiction, Computers, Advanced Computing, Theory, Artificial Intelligence, General Computing
Cover of the book Uncertainty Modeling in Knowledge Engineering and Decision Making by Cengiz Kahraman, Etienne E Kerre, Faik Tunc Bozbura, World Scientific Publishing Company
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Author: Cengiz Kahraman, Etienne E Kerre, Faik Tunc Bozbura ISBN: 9789814417754
Publisher: World Scientific Publishing Company Publication: August 10, 2012
Imprint: WSPC Language: English
Author: Cengiz Kahraman, Etienne E Kerre, Faik Tunc Bozbura
ISBN: 9789814417754
Publisher: World Scientific Publishing Company
Publication: August 10, 2012
Imprint: WSPC
Language: English

FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to Computational Intelligence for applied research. The contributions to the 10th of FLINS conference cover state-of-the-art research, development, and technology for computational intelligence systems, both from the foundations and the applications points-of-view.

Contents:

  • Decision Making and Decision Support Systems
  • Uncertainty Modeling
  • Foundations of Computational Intelligence
  • Statistics, Data Analysis and Data Mining
  • Intelligent Information Processing
  • Productivity and Reliability
  • Applied Research

Readership: Graduate students, researchers, and academics in artificial intelligence/machine learning, information management, decision sciences, databases/information sciences and fuzzy logic.
Key Features:

  • The book includes the latest developments by the prominent authors
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FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to Computational Intelligence for applied research. The contributions to the 10th of FLINS conference cover state-of-the-art research, development, and technology for computational intelligence systems, both from the foundations and the applications points-of-view.

Contents:

Readership: Graduate students, researchers, and academics in artificial intelligence/machine learning, information management, decision sciences, databases/information sciences and fuzzy logic.
Key Features:

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