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

Authors

Roberto A. Osegueda, The University of Texas at El Paso
Carlos Ferregut, The University of Texas at El Paso
Vladik Kreinovich, The University of Texas at El PasoFollow
Seelam Seetharami
Harry Schulte, The University of Texas at El Paso

Publication Date

5-2000

Comments

UTEP-CS-00-22.

Published in Proceedings of the 19th International Conference of the North American Fuzzy Information Society NAFIPS'2000, Atlanta, Georgia, July 13-15, 2000, pp. 348-352.

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.