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

8 November 2002

conference paper
Published by Institute of Electrical and Electronics Engineers (IEEE)

p. 348-352
https://doi.org/10.1109/nafips.2000.877450

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

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