A Historical Account of Types of Fuzzy Sets and Their Relationships
By Humberto Bustince, Edurne Barrenechea Tartas, Miguel Pagola, Javier Fernández, Zeshui Xu, Benjamín René Callejas Bedregal, Javier Montero, Hani Hagras, Francisco Herrera, B. De Baets. IEEE transactions on fuzzy systems, 2016
424 citations recorded by the source corpus.
In this paper, we review the definition and basic properties of the different types of fuzzy sets that have appeared up to now in the literature. We also analyze the relationships between them and enumerate some of the applications in which they have been used.
Subfields: Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/bd0890c78d544182e6d45df3fbfef722d79f1973
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
- Zeshui Xu
- Huchang Liao
- Francisco Herrera
- Ronald R. Yager
- Xingli Wu
- Enrique Herrera-Viedma
- Arian Hafezalkotob
- Peide Liu
In Computational Theory and Mathematics
- Zeshui Xu
- Huchang Liao
- Francisco Herrera
- Ronald R. Yager
- Enrique Herrera-Viedma
- Xingli Wu
- Arian Hafezalkotob
- Francisco Chiclana
In Management Science and Operations Research
- Zeshui Xu
- Huchang Liao
- Francisco Herrera
- Ronald R. Yager
- José M. Merigó
- Guiwu Wei
- Enrique Herrera-Viedma
- Meimei Xia
Citations in the corpus
- Probabilistic Linguistic MULTIMOORA: A Multicriteria Decision Making Method Based on the Probabilistic Linguistic Expectation Function and the Improved Borda Rule (2018, background): “Historically we can find different fuzzy set extensions to deal with the uncertainty [2].”
- Generalized Orthopair Fuzzy Sets (2017, background): “[8] Recent interest has focused on nonstandard fuzzy subsets [9].”