title: Automated interpretation of LIBS spectra using a fuzzy logic inference engine.
abstract: Automated interpretation of laser-induced breakdown spectroscopy (LIBS) data is necessary due to the plethora of spectra that can be acquired in a relatively short time. However, traditional chemometric and artificial neural network methods that have been employed are not always transparent to a skilled user. A fuzzy logic approach to data interpretation has now been adapted to LIBS spectral interpretation. Fuzzy logic inference rules were developed using methodology that includes data mining methods and operator expertise to differentiate between various copper-containing and stainless steel alloys as well as unknowns. Results using the fuzzy logic inference engine indicate a high degree of confidence in spectral assignment.
authors.affiliation: Interfacial Chemistry, Idaho National Laboratory (INL), Idaho Falls, Idaho 83415, USA.
authors.forename: Jeremy J
authors.initials: JJ
authors.lastname: Hatch
authors.forename: Timothy R
authors.initials: TR
authors.lastname: McJunkin
authors.forename: Cynthia
authors.initials: C
authors.lastname: Hanson
authors.forename: Jill R
authors.initials: JR
authors.lastname: Scott
mesh_terms: D000465:Algorithms; D003300:Copper / Q000032:analysis; D057225:Data Mining; D017143:Fuzzy Logic; D007834:Lasers; D016571:Neural Networks, Computer; D012815:Signal Processing, Computer-Assisted; D013057:Spectrum Analysis / Q000379:methods*; D013193:Stainless Steel / Q000032:analysis
chemical_list: D013193:Stainless Steel; D003300:Copper