An Interactive Fuzzy Operator Used To Interpret Connectionist Knowledge
- Authors
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Ciprian-Daniel Neagu
"Dunarea de Jos" University of Galati, Department of Applied Informatics
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Severin Bumbaru
"Dunarea de Jos" University of Galati, Department of Applied Informatics
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- Abstract
- In the conjugate effort of building shells for fuzzy rule-based systems with a homogenous architecture based on neural networks, a difficult task is to exhibit and explain the results of neural calculus as a parallel inference process. This paper focuses on strictly fuzzy approach of neural networks, and proposes fuzzy operators in order to extract connectionist knowledge on the base of the concept of f-duality. The methodology is tested using two known benchmarks: iris problem and portfolio problem.
- References
- Published
- 2001-09-30
- Issue
- Vol. 3 No. 3 (2001)
- Section
- Articles