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A 2-tuple fuzzy linguistic representation model for computing with words
This paper develops a computational technique for computing with words without any loss of information in the 2-tuple linguistic model and extends different classical aggregation operators to deal with this model.
Hesitant Fuzzy Linguistic Term Sets for Decision Making
- R. M. Rodríguez, Luis Martínez-López, F. Herrera
- Computer Science, LinguisticsIEEE Transactions on Fuzzy Systems
- 1 February 2012
The concept of a hesitant fuzzy linguistic term set is introduced to provide a linguistic and computational basis to increase the richness of linguistic elicitation based on the fuzzy linguistic approach and the use of context-free grammars by using comparative terms.
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches
- M. Galar, Alberto Fernández, E. Tartas, H. Bustince, F. Herrera
- Computer ScienceIEEE Transactions on Systems, Man, and…
- 1 July 2012
A taxonomy for ensemble-based methods to address the class imbalance where each proposal can be categorized depending on the inner ensemble methodology in which it is based is proposed and a thorough empirical comparison is developed by the consideration of the most significant published approaches to show whether any of them makes a difference.
A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms
A model based on linguistic 2-tuples for dealing with multigranular hierarchical linguistic contexts in multi-expert decision-making
- F. Herrera, Luis Martínez-López
- Linguistics, Computer ScienceIEEE Trans. Syst. Man Cybern. Part B
- 1 April 2001
This paper shall present a type of multigranular linguistic contexts, which they shall call linguistic hierarchies term sets, such that, when the information assessed in these structures is dealt with, it can unify the information assessment in them without loss of information.
Tackling Real-Coded Genetic Algorithms: Operators and Tools for Behavioural Analysis
Different models of genetic operators and some mechanisms available for studying the behaviour of this type of genetic algorithms are revised and compared.
Linguistic decision analysis: steps for solving decision problems under linguistic information
An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics
Some issues on consistency of fuzzy preference relations