An Introduction to Fuzzy Logic Applications in Intelligent Systems: The Springer International Series in Engineering and Computer Science, cartea 165
Editat de Ronald R. Yager, Lotfi A. Zadehen Limba Engleză Hardback – 31 ian 1992
The volume provides an introduction to and an overview of recent applications of fuzzy sets to various areas of intelligent systems. Its purpose is to provide information and easy access for people new to the field. The book also serves as an excellent reference for researchers in the field and those working in the specifics of systems development. People in computer science, especially those in artificial intelligence, knowledge-based systems, and intelligent systems will find this to be a valuable sourcebook. Engineers, particularly control engineers, will also have a strong interest in this book.
Finally, the book will be of interest to researchers working in decision support systems, operations research, decision theory, management science and applied mathematics. An Introduction to Fuzzy Logic Applications in Intelligent Systems may also be used as an introductory text and, as such, it is tutorial in nature.
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Paperback (1) | 1275.10 lei 6-8 săpt. | |
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Hardback (1) | 1281.49 lei 6-8 săpt. | |
Springer Us – 31 ian 1992 | 1281.49 lei 6-8 săpt. |
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Specificații
ISBN-13: 9780792391913
ISBN-10: 0792391918
Pagini: 356
Ilustrații: VII, 356 p.
Dimensiuni: 155 x 235 x 21 mm
Greutate: 0.69 kg
Ediția:1992
Editura: Springer Us
Colecția Springer
Seria The Springer International Series in Engineering and Computer Science
Locul publicării:New York, NY, United States
ISBN-10: 0792391918
Pagini: 356
Ilustrații: VII, 356 p.
Dimensiuni: 155 x 235 x 21 mm
Greutate: 0.69 kg
Ediția:1992
Editura: Springer Us
Colecția Springer
Seria The Springer International Series in Engineering and Computer Science
Locul publicării:New York, NY, United States
Public țintă
ResearchCuprins
1. Knowledge Representation in Fuzzy Logic.- 2. Expert Systems Using Fuzzy Logic.- 3. Fuzzy Rules in Knowledge-Based Systems.- 4. Fuzzy Logic Controllers.- 5. Methods and Applications of Fuzzy Mathematical Programming.- 6. Fuzzy Set Methods in Computer Vision.- 7. Fuzziness, Image Information and Scene Analysis.- 8. Fuzzy Sets in Natural Language Processing.- 9. Fuzzy -Set-Theoretic Applications in Modeling of Man-Machine Interactions.- 10. Questionnaires and Fuzziness.- 11. Fuzzy Logic Knowledge Systems and Artificial Neural Networks in Medicine and Biology.- 12. The Representation and Use of Uncertainty and Metaknowledge in Milord.- 13. Fuzzy Logic with Linguistic Quantifiers in Group Decision Making.- 14. Learning in Uncertain Environments.- 15. Evidential Reasoning Under Probabilistic and Fuzzy Uncertainties.- 16. Probabilistic Sets-Probabilistic Extension of Fuzzy Sets.