Jesús M. Doña

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A problem that we had encountered in the aggregation process is how to aggregate the elements that have cardinality greater than one. The most common operators used in the aggregation process produce reasonable results, but, at the same time, when the items to aggregate have cardinality greater than one, they may produce distributed problems. The purpose of(More)
A problem that we had encountered in the aggregation process, is how to aggregate the elements that have cardinality 1. The purpose of this article is to present a new aggregation operator of linguistic labels that uses the cardinality of these elements, the linguistic aggregation of majority additive (LAMA) operator. We also present an extension of the(More)
Group decision-making problems are situations where a number of experts work in a decision process to obtain a final value that is representative of the global opinion. One of the main problems in this context is to design aggregation operators that take into account the individual opinions of the decision makers. One of the most important operators used(More)
The prediction of clinical outcome of patients after breast cancer surgery plays an important role in medical tasks like diagnosis and treatment planning. These kinds of estimations are currently performed by clinicians using non-numerical techniques. Artificial neural networks are shown to be a powerful tool for analyse data sets where there are(More)
The missing data and nonresponse problem is a usual difficulty of particular concern in medical and social science databases. Dealing with nonresponse can be a difficult matter and it is important to apply adequate missing data methods to obtain valid inference. Missing data is a very common problem in real data sets, and different methods to solve this(More)