1. GRAPHICAL FUZZY INFERENCE METHOD IN SPARSE RULE BASE.
- Author
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DOSOFTEI, Constantin - Catalin and MASTACAN, Lucian
- Subjects
- *
FUZZY systems , *SYSTEM analysis , *ARTIFICIAL intelligence , *SIMULATION methods & models , *GRAPHIC methods , *ALGORITHMS , *LOGIC machines , *MACHINE theory - Abstract
One of the most important and intriguing goals of Computational intelligence is to construct methods, models and algorithms to cope with very complex systems, often lacking known analytical models. The aim of this paper is to obtain a graphical method to fuzzy inference in a sparse rule base. The rules are with two inputs and one consequence. Graphical methods will create a pyramid for two inputs with triangular- type membership function. [ABSTRACT FROM AUTHOR]
- Published
- 2009