Listar por tema "computing with words"
Mostrando ítems 1-4 de 4
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A group decision making support system for the Web: How to work in environments with a high number of participants and alternatives
(Applied Soft Computing, 07/2018)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 ... -
Improving supervised learning classification methods using multi-granular linguistic modelling and fuzzy entropy
(IEEE Transactions on Fuzzy Systems, 10/2017)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 ... -
Managing multi-criteria group decision making environments with high number of alternatives using fuzzy ontologies
(Frontiers in Artificial Intelligence and Applications, 2018)The high amount of information that modern multi-criteria group decision making environments must handle requires the development of novel methods. These methods should be able to work with high amounts of alternatives ... -
Solving multi-criteria group decision making problems under environments with a high number of alternatives using fuzzy ontologies and multi-granular linguistic modelling methods
(Knowledge-Based Systems, 12/2017)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, ...
