The present study investigates whether, and if so in what way, adult learners are sensitive to the properties of the statistical input, such as frequency and skewedness, when learning and generalizing category labels. Participants were presented with novel objects belonging to four different categories and heard category labels in a cross-situational learning task. The four categories were matc...

This paper presents a new fuzzy group decision-making approach by using probabilities and ordered weighted averages (OWA). Thus, we are able to assess the problem considering probabilistic information and the attitudinal character of the decision maker. For doing so, the fuzzy generalized probabilistic OWA (FGPOWA) operator is presented. It is an aggregation operator that unifies the probabilit...

An interactive procedure for generating a user-tailored fuzzy preference relation on intervals is proposed. This procedure allows the decision maker to choose a preference relation which suits best his intuition. The procedure is easy to use (it makes use of graphical representation) and general enough to comprise, as special cases, the intervals proposed in the literature.

Semantic change and concept drift are studied in many different academic fields. Different domains have different understandings of what a concept and, thus, concept drift is making it harder for researchers to build upon work in other disciplines. In this paper, we aim to address this challenge and propose definitions for these phenomena which apply across fields. We provide formal definitions...

Tutaj przychodzi karta pracy dyplomowej; oryginał wstawiamy do wersji dla archiwum PP, w pozostałych kopiach wstawiamy ksero.

Exact learning of half-spaces over finite subsets of IR from membership queries is considered. We describe the minimum set of labelled examples separating the target concept from all the other ones of the concept class under consideration. For a domain consisting of all integer points of some polytope we give non-trivial lower bounds on the complexity of exact identification of half-spaces. The...

Research in self-regulated learning environments has focused on student motivation, development of metacognitive skills, learning strategies, and individual differences. Equally important is the modeling of domain-specific concepts and the ability for students to learn them under their preferred environment. In this paper, we present a general framework for modeling domain-specific concepts tha...

The law of contraposition with respect to a negation (usually strong) is one of the most studied properties in the theory of fuzzy implication functions. We already know some methods for modifying an implication with the aim that the new implication satisfies this property, these methods are called contrapositivisation. In this paper we present two new methods of contrapositivisation with respe...

Hierarchical Theory Standard

In this paper we discuss several characterizations of fuzzy P-spaces and the conditions under which fuzzy topological spaces become fuzzy P-spaces, are investigated.