Fuzzy expert systems and fuzzy reasoning

By William Siler, James J. Buckley. 2004

478 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/a85eb302dc59039f7968c97d6c3fd5c34fd0cc93

How researchers see this paper

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

1. Tobias Krüger
2. Trevor Page
3. Laurence Smith
4. Matthias Thimm
5. Klaus Hubacek
6. Kevin Hiscock
7. D. Guan
8. Kuishuang Feng

Citations in the corpus

• Inconsistency measures for probabilistic logics (2013, background): “…several subfields that deal with incomplete, uncertain, and/or inconsistent knowledge such as default (Reiter, 1980) and defeasible reasoning (Kyburg et al., 1990), argumentation (Bench-Capon and Dunne, 2007; Rahwan and Simari, 2009), or possibilistic and fuzzy reasoning (Siler and Buckley, 2005).”
• The role of expert opinion in environmental modelling (2012, background): “Fuzzy 24 logic gives rise to fuzzy expert systems (Siler and Buckley, 2005), sometimes called “fuzzy 25 rule-based systems” or “fuzzy rule-based models”, and possibilistic networks (e.g. Benferhat 26 et al., 2002).”