A fuzzy approach for the expression of uncertainty in measurement

By Gilles Mauris, V. Lasserre, Laurent P. Foulloy. 2001

210 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/6ec7b2502dc0cfafbdf9040cd5a4aae7a4b546aa

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Science and Operations Research

1. Didier Dubois
2. Henri Prade
3. Gilles Mauris
4. Laurent P. Foulloy
5. Matteo Brunelli
6. Lotfi A. Zadeh
7. Zeshui Xu
8. Meimei Xia

In Statistics and Probability

1. Didier Dubois
2. Jeroen B. Guinée
3. Reinout Heijungs
4. Enrico Zio
5. Florentin Smarandache
6. Michel Grabisch
7. Christophe Labreuche

Citations in the corpus

• Recent developments in Life Cycle Assessment. (2009, background): “Especially on fuzzy set theory, advances have been reported the last few years by, amongst others Mauris et al. (2001), Benetto et al. (2006), Seppälä (2007), and Tan (2008).”
• Possibility theory and statistical reasoning (2006, background): “This setting is also relevant for modeling sensor measurements [83].”
• Noodles: A Tool for Visualization of Numerical Weather Model Ensemble Uncertainty (2010, background): “[31] proposed a fuzzy approach to measure uncertainty.”
• Probability-Possibility Transformations, Triangular Fuzzy Sets, and Probabilistic Inequalities (2004, background): “An interesting observation is that these possibility transforms cross each other at the same point [28]: (x5 = xm+1.”