Listar por tema "granular computing"
Mostrando ítems 1-3 de 3
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Generating Recommendations in GDM with an Allocation of Information Granularity
(Aggregation Functions in Theory and in Practice, 2018)A Group decision making process is carried out when human beings jointly make an election from a possible collection of alternatives. Here, a question of importance is to avoid winners and losers, in the sense that the ... -
Improving Consensus in Group Decision Making with Intuitionistic Reciprocal Preference Relations: A Granular Computing Approach
(2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, 2018)Intuitionistic reciprocal preference relations constitute a flexible and simple representation of decision makers' preference on a set of alternative options, while at the same time allow to accommodate degrees of hesitation ... -
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 ...
