Terminological difficulties in fuzzy set theory - The case of "Intuitionistic Fuzzy Sets"
By Didier Dubois, Siegfried Gottwald, P. Hájek, Janusz Kacprzyk, Henri Prade. Fuzzy Sets Syst., 2005
350 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/8111df6e432ae4317ffe97c04d4e59666ac902af
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
- Francisco Herrera
- Meimei Xia
- Edurne Barrenechea Tartas
- Humberto Bustince
- Javier Montero
- Vicenç Torra
- Javier Fernández
In Management Science and Operations Research
- Zeshui Xu
- Francisco Herrera
- Meimei Xia
- Guiwu Wei
- Vicenç Torra
- Luis Martínez-López
- Huchang Liao
- Zhiming Zhang
In Statistics and Probability
- Zeshui Xu
- Francisco Herrera
- Meimei Xia
- Vicenç Torra
- Guiwu Wei
- Humberto Bustince
- Javier Fernández
- Dengfeng Li
Citations in the corpus
- TOPSIS-Based Nonlinear-Programming Methodology for Multiattribute Decision Making With Interval-Valued Intuitionistic Fuzzy Sets (2010, background): “It was proven that the IVF set is isomorphic to the IF set in the sense of Atanassov [14]–[17], i.e., the IVF set is mathematically equivalent to the IF set, even if their interpretive settings and motivation are quite different [ 16 ].”
- On hesitant fuzzy sets and decision (2009, background): “[6], [2] on the discussion about the similarities and differences between IFS and type n fuzzy sets from the point of view of their meaning.”
- A Historical Account of Types of Fuzzy Sets and Their Relationships (2016, background): “In particular, in 2005 in [54], the following sentence appears: in fact, since the term bipolarity seems to be agreed upon in some communities, from preference modeling to cognitive psychology, as capturing the separate handling of positive and negative aspects of information, one may suggest a more”
- A geometric interpretation of the neutrosophic set — A generalization of the intuitionistic fuzzy set (2004, methodology): “…while IFS's name "intuitionistic" produces confusion with Intuitionistic Logic, which is something different (see the article by Didier Dubois et al., 2005). i) The Neutrosophic Numbers have been introduced by W.B. Vasantha Kandasamy and F. Smarandache, which are numbers of the form N…”
- Intuitionistic Fuzzy Aggregation Operators (2007, background): “[24] gave a clarification of terminology, based on mathematical resemblances and the comparison of motivations between A-IFSs and other theories.”