Fuzzy (Granular) Levels of Quality, with Applications to Data Mining and to Structural Integrity of Aerospace Structures

Abstract

Experts usually describe quality by using words from natural language such as “perfect”, “good”, etc. In this paper, 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. 1. Formulation of the… (More)

Topics

Cite this paper

@inproceedings{Osegueda2000FuzzyL, title={Fuzzy (Granular) Levels of Quality, with Applications to Data Mining and to Structural Integrity of Aerospace Structures}, author={Roberto A. Osegueda and Carlos Ferregut and Vladik Kreinovich and H. -J. Schulte}, year={2000} }