Carmen Torres-Blanc

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E-learning systems output a huge quantity of data on a learning process. However, it takes a lot of specialist human resources to manually process these data and generate an assessment report. Additionally, for formative assessment, the report should state the attainment level of the learning goals defined by the instructor. This paper describes the use of(More)
The paper focuses on the study of the contradiction between two Atanassov's intuitionistic fuzzy sets. First, taking into account some characterizations obtained in previous papers, some functions are defined in order to measure the degrees of contradiction. Besides the principal properties of these measures are pointed out. Finally, some results relating(More)
GRAPHs is a new environment designed for active and independent simulation-based learning of graph algorithms. Apart from the options of creating and editing the graph and visualizing the changes made to the graph during simulation, the environment also includes step-by-step correction, algorithm animation, pop-up questions, data structure handling and(More)
Z. Takáč in [16] introduced the aggregation operators on any subalgebra of M (set of all fuzzy membership degrees of the type-2 fuzzy sets, that is, the functions from [0,1] to [0,1]). Furthermore, he applied the Zadeh’s extension principle (see [24]) to obtain in [16, 17] a set of aggregation operators on L* (the strongly normal and convex functions of M).(More)
Trillas et al. (1999, Soft computing, 3 (4), 197-199) and Trillas and Cubillo (1999, On non-contradictory input/output couples in Zadeh's CRI proceeding, 28-32) introduced the study of contradiction in the framework of fuzzy logic because of the significance of avoiding contradictory outputs in inference processes. Later, the study of contradiction in the(More)
In a previous paper, we proposed an axiomatic model for measuring self-contradiction in the framework of Atanassov fuzzy sets. This way, contradiction measures that are semicontinuous and completely semicontinuous, from both below and above, were defined. Although some examples were given, the problem of finding families of functions satisfying the(More)
Type-2 fuzzy sets (T2FSs) were introduced by L.A. Zadeh in 1975 as an extension of type-1 fuzzy sets (FSs). The degree of membership of an element for T2FSs is a fuzzy set in [0,1], that is, a T2FS is determined by a membership function from the universe of discourse X to M, where M is the set of functions from [0,1] to [0,1]. Walker and Walker (2005, 2006)(More)