Please login first
Enrique Herrera-Viedma  - - - 
Top co-authors See all
Enrique Herrera-Viedma

1043 shared publications

Computer Science and Artificial Intelligence, University of Granada, GRANADA, Granada Spain 18071 ()

Da Ruan

979 shared publications

Belgian Nuclear Research Centre (SCK · CEN); Belgium

Janusz Kacprzyk

832 shared publications

Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

Bernard De Baets

676 shared publications

KERMIT, Department of Data Analysis and Mathematical Modelling, Ghent University, Ghent, Belgium

Cengiz Kahraman

498 shared publications

Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey

992
Publications
0
Reads
0
Downloads
1085
Citations
Publication Record
Distribution of Articles published per year 
(1968 - 2018)
Total number of journals
published in
 
29
 
Publications See all
Article 0 Reads 1 Citation Carrying out consensual Group Decision Making processes under social networks using sentiment analysis over comparative ... J.A. Morente-Molinera, G. Kou, K. Samuylov, R. Ureña, E. Her... Published: 01 February 2019
Knowledge-Based Systems, doi: 10.1016/j.knosys.2018.12.006
DOI See at publisher website ABS Show/hide abstract
Social networks are the most preferred mean for the people to communicate. Therefore, it is quite usual that experts use them to carry out Group Decision Making processes. One disadvantage that recent Group Decision Making methods have is that they do not allow the experts to use free text to express themselves. On the contrary, they force them to follow a specific user-computer communication structure. This is against social network nature where experts are free to express themselves using their preferred text structure. This paper presents a novel model for experts to carry out Group Decision Making processes using free text and alternatives pairwise comparisons. The main advantage of this method is that it is designed to work using social networks. Sentiment analysis procedures are used to analyse free texts and extract the preferences that the experts provide about the alternatives. Also, our method introduces two ways of applying consensus measures over the Group Decision Making process. They can be used to determine if the experts agree among them or if there are different postures. This way, it is possible to promote the debate in those cases where consensus is low.
Article 0 Reads 1 Citation Consensus Building With Individual Consistency Control in Group Decision Making Cong-Cong Li, Rosa M. Rodriguez, Luis Martinez, Yucheng Dong... Published: 01 February 2019
IEEE Transactions on Fuzzy Systems, doi: 10.1109/tfuzz.2018.2856125
DOI See at publisher website
Article 0 Reads 7 Citations A Consensus Model for Large-Scale Linguistic Group Decision Making With a Feedback Recommendation Based on Clustered Per... Cong-Cong Li, Yucheng Dong, Francisco Herrera Published: 01 February 2019
IEEE Transactions on Fuzzy Systems, doi: 10.1109/tfuzz.2018.2857720
DOI See at publisher website
Article 0 Reads 0 Citations Brightness guided preprocessing for automatic cold steel weapon detection in surveillance videos with deep learning Alberto Castillo, Siham Tabik, Francisco Pérez, Roberto Olmo... Published: 01 February 2019
Neurocomputing, doi: 10.1016/j.neucom.2018.10.076
DOI See at publisher website
Article 0 Reads 0 Citations An automatic procedure to create fuzzy ontologies from users’ opinions using sentiment analysis procedures and multi-gra... J.A. Morente-Molinera, G. Kou, C. Pang, F.J. Cabrerizo, E. H... Published: 01 February 2019
Information Sciences, doi: 10.1016/j.ins.2018.10.022
DOI See at publisher website
Article 0 Reads 0 Citations Chain based sampling for monotonic imbalanced classification Sergio González, Salvador García, Sheng-Tun Li, Francisco He... Published: 01 February 2019
Information Sciences, doi: 10.1016/j.ins.2018.09.062
DOI See at publisher website
Top