Advances in Fuzzy Implication Functions
Fuzzy implication functions are one of the main operations in fuzzy logic. They generalize the classical implication, which takes values in the set {0,1}, to fuzzy logic, where the truth values belong to the unit interval [0,1]. These functions are not only fundamental for fuzzy logic systems, fuzzy...
שמור ב:
| מחבר תאגידי: | |
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| מחברים אחרים: | , , , |
| פורמט: | אלקטרוני ספר אלקטרוני |
| שפה: | English |
| יצא לאור: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2013.
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| מהדורה: | 1st ed. 2013. |
| סדרה: | Studies in Fuzziness and Soft Computing,
300 |
| נושאים: | |
| גישה מקוונת: | https://doi.org/10.1007/978-3-642-35677-3 |
| תגים: |
הוספת תג
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תוכן הענינים:
- An Overview of Construction Methods of Fuzzy Implications
- Fuzzy Implications: Classification and a New Class
- A Survey of the Distributivity of Implications over Continuous T-norms and the Simultaneous Satisfaction of the Contrapositive Symmetry
- Implication Functions in Interval-valued Fuzzy Set Theory
- (S;N)-Implications on Bounded Lattices
- Implication Functions Generated Using Functions of one Variable
- Compositions of Fuzzy Implications
- Fuzzy Implications: Some Recently Solved Problems.



