An Approach for Combining Linguistic and Numerical Information Based on the 2-Tuple Fuzzy Linguistic Representation Model in Decision-Making
By Francisco Herrera, Luis Martínez-López. Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2000
456 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/aed2202fa62aef90db8234123ddeb208897f74b3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
- Enrique Herrera-Viedma
- Francisco Herrera
- Luis Martínez-López
- Zeshui Xu
- Francisco Chiclana
- F. Cabrerizo
- Sergio Alonso
- Ignacio Javier Pérez
In Management Science and Operations Research
- Enrique Herrera-Viedma
- Francisco Herrera
- Luis Martínez-López
- Zeshui Xu
- Francisco Chiclana
- F. Cabrerizo
- Yucheng Dong
- Sergio Alonso
Citations in the corpus
- A Fuzzy Linguistic Methodology to Deal With Unbalanced Linguistic Term Sets (2008, methodology): “The semantics provided by the semantic representation algorithm satisfies the conditions imposed in [ 23 ] to accomplish processes of CW in a precise way using the 2-tuple linguistic representation model.”
- Correlation coefficients of hesitant fuzzy sets and their applications to clustering analysis (2013, unknown): “Example 7 ([58]).”
- A 2-tuple fuzzy linguistic representation model for computing with words (2000, unknown): “Finally, we should point out that using the 2-tuple fuzzy linguistic representation, we can tackle the problems of multigranularity [9], [10] and combination of linguistic-numerical information [8], [11] in a common context.”