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Improving supervised learning classification methods using multi-granular linguistic modelling and fuzzy entropy
Obtaining good classification results using supervised learning methods is critical if we want to obtain a high level of precision in the classification processes. The training data used for the learning process plays a ...
Solving multi-criteria group decision making problems under environments with a high number of alternatives using fuzzy ontologies and multi-granular linguistic modelling methods
Classic multi-criteria group decision making models that have a high amount of alternatives are unmanageable for the experts. This is because they have to provide one value per each alternative and criteria. In this paper, ...
Improving queries and representing heterogeneous information in fuzzy ontologies using multi-granular fuzzy linguistic modelling methods
The appearance of Fuzzy Ontologies has improved the way that crisp ontologies use to represent information. Thanks to them, it is possible to represent information in an imprecise and linguistic way using linguistic modelling ...
An automatic procedure to create fuzzy ontologies from users’ opinions using sentiment analysis procedures and multi-granular fuzzy linguistic modelling methods
The high amount of information that users continually provides to the Internet is unorganized and difficult to interpret. Unluckily, there is no point in having high amounts of information that we cannot work with. Therefore, ...
Using multi-granular fuzzy linguistic modelling methods for supervised classification learning purposes
Classification learning is a very complex process whose success and failure ratio depends on a high amount of elements. One of them is the representation mean used for the data that is employed in the process. Granularity ...
A group decision making support system for the Web: How to work in environments with a high number of participants and alternatives
One of the main challenges that the appearance of Web 2.0 and the overall spreading of the Internet have generated is how to tackle with the high number of users and information available. This problem is also inherited ...
Granular Models For Time-series Forecasting
(John Wiley & Sons, Ltd, 2008)
Metodología para la búsqueda de consenso en toma de decisiones grupales multicriterio (MCGDM). Caso de estudio en gestión ambiental
(Universidad Nacional de Colombia - Sede Bogotá, 2019-12-12)
La toma de decisiones grupal busca agregar opiniones de varios individuos en una decisión consensuada. Muchos autores coinciden en que nuestra sociedad moderna es en esencia un problema de decisiones grupal. El conflicto ...