Expert systems and fuzzy systems
Expert systems and fuzzy systems
The implementation of fprolog—a fuzzy prolog interpreter
Fuzzy Sets and Systems
Adaptive fuzzy systems and control: design and stability analysis
Adaptive fuzzy systems and control: design and stability analysis
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
ACM Transactions on Programming Languages and Systems (TOPLAS)
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Haskell: the craft of functional programming
Haskell: the craft of functional programming
Charting patterns on price history
Proceedings of the sixth ACM SIGPLAN international conference on Functional programming
New geometric inference techniques for type-2 fuzzy sets
International Journal of Approximate Reasoning
Hi-index | 0.00 |
In this paper we aim to give an introduction to fuzzy logic using the language Haskell to implement our solutions. We shall see how the high-level, declarative nature of a functional language allows us to implement easily and efficiently solutions to problems using fuzzy logic and, in particular, how the presence of functions as first-class values allows us to model the key concept of the fuzzy subset in a natural way.