Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Discovering knowledge from fuzzy concept lattice
Data mining and computational intelligence
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Fuzzy Relational Systems: Foundations and Principles
Fuzzy Relational Systems: Foundations and Principles
Knowledge Acquisition Via Incremental Conceptual Clustering
Machine Learning
Concept Data Analysis: Theory and Applications
Concept Data Analysis: Theory and Applications
Information Sciences: an International Journal
Crisply generated fuzzy concepts
ICFCA'05 Proceedings of the Third international conference on Formal Concept Analysis
Attribute implications in a fuzzy setting
ICFCA'06 Proceedings of the 4th international conference on Formal Concept Analysis
Systemic approach to fuzzy logic formalization for approximate reasoning
Information Sciences: an International Journal
Knowledge spaces with graded knowledge states
Information Sciences: an International Journal
Mining gene expression data with pattern structures in formal concept analysis
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
Formal query systems on contexts and a representation of algebraic lattices
Information Sciences: an International Journal
Review: Formal Concept Analysis in knowledge processing: A survey on models and techniques
Expert Systems with Applications: An International Journal
Review: Formal concept analysis in knowledge processing: A survey on applications
Expert Systems with Applications: An International Journal
Fuzzy Assessment of Health Information System Users' Security Awareness
Journal of Medical Systems
Granularity of attributes in formal concept analysis
Information Sciences: an International Journal
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The paper presents a method for evaluation of questionnaires supported by formal concept analysis. Formal concept analysis provides an expert with a structured view on the data contained in the questionnaires. The method results from experiments with IPAQ (International Physical Activity Questionnaire). The structured view on the data provided by the method suggests various hypotheses which can later be tested. In addition, the structured view on data itself proved to be sufficiently informative to the expert. In addition to the method, the paper presents experiments with evaluation of IPAQ.