Juan Tinguaro Rodríguez

Publication Activity (10 Years)

Years Active: 2009-2020
Publications (10 Years): 22

Top Topics

Knowledge Representation

Aggregation Operators

Stepwise Regression

Top Venues

Fuzzy Sets Syst.

Knowl. Based Syst.

Int. J. Comput. Intell. Syst.

Publications

Fabián Castiblanco, Camilo A. Franco, Juan Tinguaro Rodríguez, Javier Montero
Optimal Number of Classes in Fuzzy Partitions. NAFIPS (2020)
Daniel Vélez, A. Ayuso, Carlos Perales-González, Juan Tinguaro Rodríguez
Churn and Net Promoter Score forecasting for business decision-making through a new stepwise regression methodology. Knowl. Based Syst. 196 (2020)
Luis Magdalena, Luis Garmendia, Daniel Gómez, Ramón González del Campo, Juan Tinguaro Rodríguez, Javier Montero
Types of Recursive Computable Aggregations. FUZZ-IEEE (2019)
Laura De Miguel, Daniel Gómez, Juan Tinguaro Rodríguez, Javier Montero, Humberto Bustince, Graçaliz Pereira Dimuro, José Antonio Sanz
General overlap functions. Fuzzy Sets Syst. 372 (2019)
Camilo A. Franco, Juan Tinguaro Rodríguez, Javier Montero, Daniel Gómez, Ronald R. Yager
Ambiguity Measures for Preference-Based Decision Viewpoints. IUKM (2019)
Fabián Castiblanco, Camilo A. Franco, Javier Montero, Juan Tinguaro Rodríguez
Aggregation Operators to Evaluate the Relevance of Classes in a Fuzzy Partition. IFSA/NAFIPS (2019)
Camilo A. Franco, Carely Guada, Juan Tinguaro Rodríguez, Jon Nielsen, Jesper Rasmussen, Daniel Gómez, Javier Montero
Automatic Detection of Thistle-Weeds in Cereal Crops from Aerial RGB Images. IPMU (3) (2018)
Carely Guada, Edwin de Jesus Zarrazola, Javier Yáñez, Juan Tinguaro Rodríguez, Daniel Gómez, Javier Montero
A novel edge detection algorithm based on a hierarchical graph-partition approach. J. Intell. Fuzzy Syst. 34 (3) (2018)
Fabián Castiblanco, Camilo A. Franco, Javier Montero, Juan Tinguaro Rodríguez
Relevance of Classes in a Fuzzy Partition. A Study from a Group of Aggregation Operators. NAFIPS (2018)
Javier Montero, Ramón González del Campo, Luis Garmendia, Daniel Gómez, Juan Tinguaro Rodríguez
Computable aggregations. Inf. Sci. (2018)
Guillermo Villarino, Daniel Gómez, Juan Tinguaro Rodríguez, Javier Montero
A bipolar knowledge representation model to improve supervised fuzzy classification algorithms. Soft Comput. 22 (15) (2018)
Guillermo Villarino, Daniel Gómez, Juan Tinguaro Rodríguez
Improving Supervised Classification Algorithms by a Bipolar Knowledge Representation. EUSFLAT/IWIFSGN (3) (2017)
Gleb Beliakov, Daniel Gómez, Simon James, Javier Montero, Juan Tinguaro Rodríguez
Approaches to learning strictly-stable weights for data with missing values. Fuzzy Sets Syst. 325 (2017)
Camilo A. Franco, Juan Tinguaro Rodríguez, Javier Montero
Learning preferences from paired opposite-based semantics. Int. J. Approx. Reason. 86 (2017)
Fabián Castiblanco, Daniel Gómez, Javier Montero, Juan Tinguaro Rodríguez
Aggregation tools for the evaluation of classifications. IFSA-SCIS (2017)
Carely Guada, Daniel Gómez, Juan Tinguaro Rodríguez, Javier Yáñez, Javier Montero
Graph Approach in Image Segmentation. EUSFLAT/IWIFSGN (2) (2017)
Daniel Gómez, Juan Tinguaro Rodríguez, Javier Yáñez, Javier Montero
A new modularity measure for Fuzzy Community detection problems based on overlap and grouping functions. Int. J. Approx. Reason. 74 (2016)
Juan Tinguaro Rodríguez, Carely Guada, Daniel Gómez, Javier Yáñez, Javier Montero
A Methodology for Hierarchical Image Segmentation Evaluation. IPMU (1) (2016)
Javier Montero, Humberto Bustince, Camilo A. Franco, Juan Tinguaro Rodríguez, Daniel Gómez, Miguel Pagola, Javier Fernández, Edurne Barrenechea Tartas
Paired structures in knowledge representation. Knowl. Based Syst. 100 (2016)
Carely Guada, Daniel Gómez, Juan Tinguaro Rodríguez, Javier Yáñez, Javier Montero
Classifying image analysis techniques from their output. Int. J. Comput. Intell. Syst. 9 (sup1) (2016)
Javier Montero, Daniel Gómez, Juan Tinguaro Rodríguez, Camilo A. Franco
Paired fuzzy sets and other opposite-based models. FUZZ-IEEE (2016)
Daniel Gómez, Juan Tinguaro Rodríguez, Javier Montero, Humberto Bustince, Edurne Barrenechea
n-Dimensional overlap functions. Fuzzy Sets Syst. 287 (2016)
Camilo A. Franco, Juan Tinguaro Rodríguez, Javier Montero
Building the meaning of preference from logical paired structures. Knowl. Based Syst. 83 (2015)
Daniel Gómez, Javier Yáñez, Carely Guada, Juan Tinguaro Rodríguez, Javier Montero, Edwin de Jesus Zarrazola
Fuzzy image segmentation based upon hierarchical clustering. Knowl. Based Syst. 87 (2015)
Carely Guada, Daniel Gómez, Juan Tinguaro Rodríguez, Javier Yáñez, Javier Montero
Fuzzy Image Segmentation Based on the Hierarchical Divide and Link Clustering Algorithm. ISKE (2015)
Juan Tinguaro Rodríguez, Camilo A. Franco, Daniel Gómez, Javier Montero
Paired Structures, Imprecision Types and Two-Level Knowledge Representation by Means of Opposites. IWIFSGN@FQAS (2015)
Gleb Beliakov, Simon James, Daniel Gómez, Juan Tinguaro Rodríguez, Javier Montero
Learning Stable Weights for Data of Varying Dimension. AGOP (2015)
Juan Tinguaro Rodríguez, Camilo A. Franco, Daniel Gómez, Javier Montero
Paired fuzzy sets: A unifying model for early knowledged acquisition. FUZZ-IEEE (2015)
Juan Tinguaro Rodríguez, Esko Turunen, Da Ruan, Javier Montero
Another paraconsistent algebraic semantics for Lukasiewicz-Pavelka logic. Fuzzy Sets Syst. 242 (2014)
Juan Tinguaro Rodríguez, Camilo Andrés Franco de los Ríos, Javier Montero, Jie Lu
Paired Structures in Logical and Semiotic Models of Natural Language. IPMU (2) (2014)
Daniel Gómez, Karina Rojas, Javier Montero, Juan Tinguaro Rodríguez, Gleb Beliakov
Consistency and stability in aggregation operators: An application to missing data problems. Int. J. Comput. Intell. Syst. 7 (3) (2014)
Karina Rojas, Daniel Gómez, Javier Montero, Juan Tinguaro Rodríguez, Andrea Valdivia, Francisco Paiva
Development of child's home environment indexes based on consistent families of aggregation operators with prioritized hierarchical information. Fuzzy Sets Syst. 241 (2014)
Camilo A. Franco, Juan Tinguaro Rodríguez, Javier Montero
An ordinal approach to computing with words and the preference-aversion model. Inf. Sci. 258 (2014)
Macarena Espinilla, Javier Montero, Juan Tinguaro Rodríguez
Computational intelligence in decision making. Int. J. Comput. Intell. Syst. 7 (sup1) (2014)
Camilo A. Franco, Javier Montero, Juan Tinguaro Rodríguez
A fuzzy and bipolar approach to preference modeling with application to need and desire. Fuzzy Sets Syst. 214 (2013)
Daniel Gómez, Karina Rojas, Javier Montero, Juan Tinguaro Rodríguez
Consistency and Stability in Aggregation Operators: An Application to Missing Data Problems. AGOP (2013)
Karina Rojas, Daniel Gómez, Javier Montero, Juan Tinguaro Rodríguez
Strictly stable families of aggregation operators. Fuzzy Sets Syst. 228 (2013)
Daniel Gómez, Javier Montero, Juan Tinguaro Rodríguez, Karina Rojas
Consistency and stability in aggregation operators with data structure. IFSA/NAFIPS (2013)
Daniel Gómez, Javier Montero, Juan Tinguaro Rodríguez, Karina Rojas
Stability in Aggregation Operators. IPMU (3) (2012)
Juan Tinguaro Rodríguez, Begoña Vitoriano, Javier Montero
A general methodology for data-based rule building and its application to natural disaster management. Comput. Oper. Res. 39 (4) (2012)
Karina Rojas, Daniel Gómez, Juan Tinguaro Rodríguez, Javier Montero
Some Properties of Consistency in the Families of Aggregation Operators. Eurofuse (2011)
Juan Tinguaro Rodríguez, Begoña Vitoriano, Javier Montero
Rule-based classification by means of bipolar criteria. MCDM (2011)
Juan Tinguaro Rodríguez, Begoña Vitoriano, Javier Montero, Vojislav Kecman
A disaster-severity assessment DSS comparative analysis. OR Spectr. 33 (3) (2011)
Juan Tinguaro Rodríguez, Camilo A. Franco, Javier Montero
On the Semantics of Bipolarity and Fuzziness. Eurofuse (2011)
Camilo Andrés Franco de los Ríos, Javier Montero, Juan Tinguaro Rodríguez
Rectification of Preferences in a Fuzzy Environment. IPMU (1) (2010)
Juan Tinguaro Rodríguez, Begoña Vitoriano, Javier Montero
A natural-disaster management DSS for Humanitarian Non-Governmental Organisations. Knowl. Based Syst. 23 (1) (2010)
Juan Tinguaro Rodríguez, Victoria López, Daniel Gómez, Begoña Vitoriano, Javier Montero
A computational definition of aggregation rules. FUZZ-IEEE (2010)
Camilo A. Franco, Juan Tinguaro Rodríguez, Javier Montero
Information measures over intuitionistic four valued fuzzy preferences. FUZZ-IEEE (2010)
Juan Tinguaro Rodríguez, Begoña Vitoriano, Javier Montero, Daniel Gómez
Modelling bipolar multicriteria decision making. MCDM (2009)
Juan Tinguaro Rodríguez, Javier Montero, Begoña Vitoriano, Victoria López
An Inductive Methodology for Data-Based Rules Building. ADT (2009)