This work addresses the sensitivity analysis on the settings of fuzzy inference systems where multiple, yet dissimilar inputs are aggregated and resolved into a single output. The JAVA platform-independent development environment DANA (Data Analysis aNd Assessment) includes components for computation of fuzzy-logic based rules guiding the fuzzification-aggregation-defuzzification process by alternative membership functions (of an input to belong to fuzzy sets) and weighing systems, and unlimited aggregation levels. The integration of the library for sensitivity analysis SimLab within DANA is illustrated using the Morris screening method to determine the relative importance ranking of fuzzy settings (lower and upper limits, weights) on the final defuzzified output. The assumptions about the settings of the analysis are also discussed using an illustrative example where sensitivity analysis is applied to the fuzzy inference system designed to evaluate analytical methods in the domain of genetically modified organisms.
|Titolo:||Sensitivity analysis in fuzzy systems : integration of SimLab and DANA|
|Settore Scientifico Disciplinare:||Settore AGR/02 - Agronomia e Coltivazioni Erbacee|
|Data di pubblicazione:||12-ott-2010|
|Digital Object Identifier (DOI):||10.1016/j.envsoft.2010.03.024|
|Appare nelle tipologie:||01 - Articolo su periodico|