Fuzzy Logics have been applied successfully within both Formal Concept Analysis and Description Logics. Especially in the latter field, Fuzzy Logics have been gaining significant momentum during the last two years. Unfortunately, the research on fuzzy logics within the two communities has been conducted independently from each other, leading to different approaches being pursued. We show that i...

Abstract. We propose a method to incrementally compute and use, during the concept formation, the relevance of a concept property. This relevance is computed through the account of the property correlation with other ones and it is used by the concept quality function in order to improve predictive accuracy. The proposed approach is analyzed concerning both the prediction power of the generated...

Daily experience shows that in the real world, the meaning of many concepts heavily depends on some implicit context, and changes in that context can cause radical changes in the concepts. This paper introduces a method for incremental concept learning in dynamic environments where the target concepts may be context-dependent and may change drastically over time. The method has been implemented...

The present work deals with a teaching experience with students beginning their formation in engineering at a university level. It deals with a non traditional course of Calculus using concept mapping as a teaching tool. Considering learning by the students to be a development of both cognitive aspects as well as non-cognitive aspects, concept mapping was integrated into the course in order to ...

Concept drift occurs when a target concept changes over time. I present a new method for learning shifting target concepts during concept drift. The method, called Concept Drift Committee (CDC), uses a weighted committee of hypotheses that votes on the current classification. When a committee member’s voting record drops below a minimal threshold, the member is forced to retire. A new committee...

This paper describes UAIC’s system built for participating in the Scalable Concept Image Annotation challenge 2015. We submitted runs both for Subtask 1 (Image Concept detection and localisation) and for Subtask 2 (Generation of Textual Descriptions of Images). For the first subtask we created an ontology with relations between concepts and their synonyms, hyponyms and hypernyms and also with r...

Five eighth grade science classes of students in at a middle school were assigned to three treatment groups: those who individually concept mapped, those who collaboratively concept mapped, and those who independently used their study time. The findings revealed that individually generating concept maps on computers during study time positively influenced science concept learning above and beyo...

This thesis consists of three overlapping parts, where the first one centers around the possibility of defining a measure of the power of arithmetical theories. In this part a partial measure of the power of arithmetical theories is constructed, where “power” is understood as capability to prove theorems. It is also shown that other suggestions in the literature for such a measure do not satisf...

In formal concept analysis of data with fuzzy attributes, both the extent and the intent of a formal (fuzzy) concept may be fuzzy sets. In this paper we focus on so-called crisply generated formal concepts. A concept 〈A,B〉 ∈ B (X,Y, I) is crisply generated if A = D↓ (and so B = D↓↑) for some crisp (i.e., ordinary) set D ⊆ Y of attributes (generator). Considering only crisply generated concepts ...

It has been observed that a careful selection of training examples improves the performance of supervised concept learning systems. This observation is important when examples are not available and are expensive to generate, or when using incremental learning systems. These two reasons are manifested in the context of BRIDGER, a system that learns to design cable-stayed bridges. This paper desc...