Title :
Fuzzy (granular) levels of quality, with applications to data mining and to structural integrity of aerospace structures
Author :
Osegueda, Roberto A. ; Ferregut, Carlos ; Kreinovichl, Vladik ; Seetharami, Seelam ; Schulte, Harry
Author_Institution :
FAST Center for Struct. Integrity of Aerosp. Struct., Texas Univ., El Paso, TX, USA
Abstract :
Experiments usually describe quality, by using words from natural language such as “perfect”, “good”, etc. We deduce natural numerical values corresponding to these words, and show that these values explain empirical dependencies uncovered in data mining and in the analysis of structural integrity of aerospace structures
Keywords :
aerospace computing; computational linguistics; data mining; fuzzy logic; natural languages; structural engineering computing; uncertainty handling; aerospace structures; data mining; empirical dependencies; fuzzy levels of quality; granular levels of quality; natural language; natural numerical values; structural integrity; Collaboration; Data mining; Databases; Equations; Fuzzy logic; Marketing and sales; Natural languages;
Conference_Titel :
Fuzzy Information Processing Society, 2000. NAFIPS. 19th International Conference of the North American
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-6274-8
DOI :
10.1109/NAFIPS.2000.877450
