The role of fuzzy sets in decision sciences: Old techniques and new directions
By Didier Dubois. Fuzzy Sets Syst., 2011
298 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/0d7bf05cdda5b7c128c06cdfcc76f1e3f14a03b4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Marie-Claire Koissi
- Matteo Brunelli
- Arnold F. Shapiro
- Tabasam Rashid
- Ismat Beg
- Zeshui Xu
- Huchang Liao
- Xiao-Jun Zeng
In Computational Theory and Mathematics
- Marie-Claire Koissi
- Matteo Brunelli
- Arnold F. Shapiro
- Tabasam Rashid
- Ismat Beg
- Zeshui Xu
- Huchang Liao
- Xiao-Jun Zeng
In Management Science and Operations Research
- Marie-Claire Koissi
- Matteo Brunelli
- Arnold F. Shapiro
- Tabasam Rashid
- Ismat Beg
- Zeshui Xu
- Huchang Liao
- Xiao-Jun Zeng
Citations in the corpus
- Introduction to the Analytic Hierarchy Process (2014, methodology): “For a critical analysis of this method and a broader overview on the use of fuzzy sets in decision making, the interested reader can refer to the recent paper by Dubois [45].”
- TOPSIS for Hesitant Fuzzy Linguistic Term Sets (2013, methodology): “39.”
- Fuzzy logic modifications of the Analytic Hierarchy Process (2017, background): “8 For example, Dubois (2011, p. 19) observed that, in practice, pairwise comparison data do not provide consistent matrices, and Bouyssou et al (2000, §6.3.2) expressed concern about such things as measurement issues and an absolute scale with no degrees of freedom. 9 Although, as mentioned earlier,”