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TFS
2008

Gradual Numbers and Their Application to Fuzzy Interval Analysis

14 years 11 days ago
Gradual Numbers and Their Application to Fuzzy Interval Analysis
Abstract-- We introduce a new way of looking at fuzzy intervals. Instead of considering them as fuzzy sets, we see them as crisp sets of entities we call gradual (real) numbers. They are a gradual extension of real numbers, not of intervals. Such a concept is apparently missing in fuzzy set theory. Gradual numbers basically have the same algebraic properties as real numbers, but they are functions. A fuzzy interval is then viewed as a pair of fuzzy thresholds, which are monotonic gradual real numbers. This view enable interval analysis to be directly extended to fuzzy intervals, without resorting to
Jérôme Fortin, Didier Dubois, H&eacut
Added 15 Dec 2010
Updated 15 Dec 2010
Type Journal
Year 2008
Where TFS
Authors Jérôme Fortin, Didier Dubois, Hélène Fargier
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