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Fuzzy (granular) levels of quality, with applications to data mining and to structural integrity of aerospace structures

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5 Author(s)
Osegueda, R.A. ; FAST Center for Struct. Integrity of Aerosp. Struct., Texas Univ., El Paso, TX, USA ; Ferregut, C. ; Kreinovichl, V. ; Seetharami, S.
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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

Published in:

Fuzzy Information Processing Society, 2000. NAFIPS. 19th International Conference of the North American

Date of Conference:

2000