DocumentCode
2542530
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
fYear
2000
fDate
2000
Firstpage
348
Lastpage
352
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/NAFIPS.2000.877450
Filename
877450
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