Interval-valued hesitant preference relations and their applications to group decision making
By Na Chen, Zeshui Xu, Meimei Xia. Knowledge-Based Systems, 2013
533 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/d3ed9196ec747f6159e3c2695ff1958a496cc9d2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
- Zeshui Xu
- Xiaolu Zhang
- Francisco Herrera
- Luis Martínez-López
- Rosa M. Rodríguez
- Humberto Bustince
- Vicenç Torra
- Javier Fernández
In Management Science and Operations Research
- Zeshui Xu
- Francisco Herrera
- Luis Martínez-López
- Xiaolu Zhang
- Rosa M. Rodríguez
- Huchang Liao
- Enrique Herrera-Viedma
- Xiao-hong Chen
In Statistics and Probability
- Zeshui Xu
- Xiaolu Zhang
- Francisco Herrera
- Rosa M. Rodríguez
- Luis Martínez-López
- Xiao-hong Chen
- Hong-yu Zhang
- Jing Wang
Citations in the corpus
- Hesitant fuzzy multi-attribute decision making based on TOPSIS with incomplete weight information (2013, background): “To cope with such a situation, Chen et al. [36] firstly put forward the concept of interval-valued hesitant fuzzy set (IVHFS), which permits the memberships of an element to a given set having a few different interval values: Definition 4 [36].”
- Interval-valued hesitant fuzzy linguistic sets and their applications in multi-criteria decision-making problems (2014, background): “[8] extended HFSs to interval-valued hesitant fuzzy sets (IVHFSs), which represent the membership degrees of an element to a set with several possible interval values.”
- A Historical Account of Types of Fuzzy Sets and Their Relationships (2016, background): “However, Torra provided an explicit definition for union and intersection of HFSs, whereas this was not the case for Grattan-Guinness’ SVFSs. 3) To analyze the difference between IVFSs and IT2FSs, and to show that both are related to HFSs. 4) To analyze the relationships between IVFSs, AIFSs, IVAIFS”
- Hesitant Fuzzy Sets: State of the Art and Future Directions (2014, background): “Each value is replaced by a fuzzy set (an interval or a triangular fuzzy set).”