| 2007 |
|---|
| 9 | EE | Enrique Herrera-Viedma,
Antonio G. López-Herrera,
Sergio Alonso,
Carlos Porcel,
Francisco Javier Cabrerizo:
A Linguistic Multi-level Weighted Query Language to Represent User Information Needs.
FUZZ-IEEE 2007: 1-6 |
| 8 | EE | Sergio Alonso,
Enrique Herrera-Viedma,
Francisco Javier Cabrerizo,
Carlos Porcel,
Antonio G. López-Herrera:
Using Visualization Tools to Guide Consensus in Group Decision Making.
WILF 2007: 77-85 |
| 7 | EE | Enrique Herrera-Viedma,
Antonio G. López-Herrera,
María Luque,
Carlos Porcel:
A Fuzzy Linguistic IRS Model Based on a 2-Tuple Fuzzy Linguistic Approach.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 15(2): 225-250 (2007) |
| 2006 |
|---|
| 6 | EE | Enrique Herrera-Viedma,
Carlos Porcel,
Antonio G. López-Herrera,
Sergio Alonso,
Amelia Zafra:
Improving the User-System Interaction in a Web Multi-agent System Using Fuzzy Multi-granular Linguistic Information.
FQAS 2006: 390-403 |
| 5 | EE | Sergio Alonso,
Enrique Herrera-Viedma,
Francisco Chiclana,
Francisco Herrera,
Carlos Porcel:
Strategies to Manage Ignorance Situations in Multiperson Decision Making Problems.
MDAI 2006: 34-45 |
| 4 | EE | Enrique Herrera-Viedma,
Gabriella Pasi,
Antonio G. López-Herrera,
Carlos Porcel:
Evaluating the information quality of Web sites: A methodology based on fuzzy computing with words.
JASIST 57(4): 538-549 (2006) |
| 2005 |
|---|
| 3 | EE | Enrique Herrera-Viedma,
Carlos Porcel,
Francisco Herrera,
Luis Martínez,
Antonio G. López-Herrera:
Techniques to Improve Multi-Agent Systems for Searching and Mining the Web.
Intelligent Data Mining 2005: 463-486 |
| 2 | EE | Enrique Herrera-Viedma,
Antonio G. López-Herrera,
Carlos Porcel:
Tuning the matching function for a threshold weighting semantics in a linguistic information retrieval system.
Int. J. Intell. Syst. 20(9): 921-937 (2005) |
| 2004 |
|---|
| 1 | EE | Enrique Herrera-Viedma,
Carlos Porcel,
Antonio Gabriel López,
María Dolores Olvera,
Karina Anaya:
A Fuzzy Linguistic Multi-agent Model for Information Gathering on the Web Based on Collaborative Filtering Techniques.
AWIC 2004: 3-12 |
