Decision support systems using fuzzy logic generally deal with complex and large decision making problems. This can be particularly problematic in case of systems requiring a fast and accurate response. This paper proposes a technique that lets us accelerate and improve the automatic creation of the Fuzzy Knowledge Bases performed by the use of Genetic Algorithms. First a brief description of the Fuzzy Decision Support System software Fuzzy-Flou and the specificities of the Real Binary-Like Coded Genetic algorithm in terms of reproduction and mutation mechanisms are presented. Later on, an Exploratory Data Analysis strategy and clustering algorithms are discussed and, finally, the results are validated through a theoretical 3D surface.
|Title of host publication||Artificial Intelligence Methods|
|Publication status||Published - 2004|
|Event||Artificial Intelligence Methods - Gliwice, Poland|
Duration: 1 Jan 2004 → …
|Conference||Artificial Intelligence Methods|
|Period||01/01/2004 → …|