1557-3087/$ – see front matter © 2008 doi:10.1016/j.teln.2007.08.002 Abstract Concept mapping is a teaching–learning strategy that can be used to evaluate a nursing student's ability to critically think in the clinical setting. It has been used in disciplines other than nursing to allow the learner to visually reorganize and arrange information in a manner that promotes learning of concepts tha...

Aimed at the problem of the classical ontology cannot represent the imprecision and uncertainty information, firstly, the ambiguity and uncertainty of fuzzy information was analyzed, and the fuzzy concept relationship was expressed by using fuzzy membership function. And then, the user interest estimation based on behavior was studied in term of user’s learning preferences, and user profile was...

Data stream learning has been largely studied for extracting knowledge structures from continuous and rapid data records. In the semantic Web, data is interpreted in ontologies and its ordered sequence is represented as an ontology stream. Our work exploits the semantics of such streams to tackle the problem of concept drift i.e., unexpected changes in data distribution, causing most of models ...

For the processing of decision making with uncertainty information, this paper establishes a decision model based on lattice-valued logic and researches the algorithm for extracting the maximum decision rules. Firstly, we further research the lattice-valued fuzzy concept lattice by combining the lattice implication algebra and classical concept lattice; secondly, we define the lattice-valued de...

Concept maps are widely used in education, and have been acclaimed for their excellent results. For efficiently using concept maps in education, computer-based concept mapping systems have been developed. However these computer-based concept mapping systems are limited in their assessment algorithms. The assessment takes only concept nodes as the primary basis, with relation links playing only ...

Received (received date) Revised (revised date) Communicated by Editor's name ABSTRACT 1 The paper presents results on factorization by similarity of fuzzy concept lattices with hedges. A fuzzy concept lattice is a hierarchically ordered collection of clusters extracted from tabular data. The basic idea of factorization by similarity is to have, instead of a possibly large original fuzzy concep...

In the distribution-independent model of concept learning from examples introduced by Valiant [Va184], it has been shown that the existence of an Occam algorithm for a dass of concepts implies the computationally feasible (polynomial) learnability of that class $[BEHW87a, BEHW87b]$. An Occam algorithm is a polynomial-time algorithm that produces, for any sequence of examples, a nearly minimum h...