Uncertainty Modeling in Knowledge Engineering and Decision Making
Nonfiction, Computers, Advanced Computing, Theory, Artificial Intelligence, General Computing
| 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
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
