Computing with words in decision making: foundations, trends and prospects
By Francisco Herrera, Sergio Alonso, Francisco Chiclana, Enrique Herrera-Viedma. Fuzzy Optimization and Decision Making, 2009
508 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/bf582603433225ed2066406550b10fbfb359ddfb
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
- Enrique Herrera-Viedma
- Zeshui Xu
- Francisco Chiclana
- Francisco Herrera
- F. Cabrerizo
- Yucheng Dong
- Luis Martínez-López
- Hengjie Zhang
In Management Science and Operations Research
- Enrique Herrera-Viedma
- Zeshui Xu
- Francisco Herrera
- Francisco Chiclana
- Luis Martínez-López
- F. Cabrerizo
- Yucheng Dong
- Hengjie Zhang
Citations in the corpus
- A review of soft consensus models in a fuzzy environment (2014, background): “Authors present a new consensus model for GDM problems based on fuzzy linguistic preference relations defined in an ordinal fuzzy linguistic approach [45,46].”
- Consensus reaching in social network group decision making: Research paradigms and challenges (2018, background): “Decision makers' preferences on a set of alternatives X can be represented in different ways using distinct preference representation structures, such as: utility values [22]; preference orderings [23,24]; additive preference relations [25-27]; linguistic preferences [28-32]; multiple attribute pref”
- Computing with Words in Decision support Systems: An overview on Models and Applications (2010, methodology): “We have not described the decision models based on CW, which can be found in the review presented by Herrera et al. 33 .”
- A fuzzy envelope for hesitant fuzzy linguistic term set and its application to multicriteria decision making (2014, background): “The use of linguistic information implies the need for computing with words (CWW) processes [12, 17, 41] that can be carried out by different linguistic computational models [12, 17].”