Teresa León

TL;DR: This work develops some fuzzy versions of the classical DEA models by using some ranking methods based on the comparison of α-cuts, and shows, in a numerical example, how these models become specially useful for detecting sensitive decision-making units.

TL;DR: This paper proposes an algorithm to repair infeasibility of fuzzy optimization schemes for managing a portfolio in the framework of risk–return trade-off and illustrates its performance on a numerical example.

TL;DR: A novel algorithm for the incorporation of user preferences in an image retrieval system based exclusively on the visual content of the image, which is stored as a vector of low-level features.

TL;DR: The main idea of this paper is to define the averages of a given fuzzy set by using different definitions of the mean of a random compact set, in particular, the average distance of Baddeley-Molchanov and themean of Vorob'ev have been used.

TL;DR: A new method to match time series is defined in order to assess energy forecasting accuracy and relies on a new family of step patterns, an essential component of the algorithm to evaluate the temporal distortion index (TDI), which improves previous pioneering results.