Rough-set-driven approach for attribute reduction in fuzzy formal concept analysis
MJ Benítez-Caballero, J Medina… - Fuzzy Sets and …, 2020 - Elsevier
The reduction of the set of attributes is an important preliminary challenge in order to obtain
information from knowledge systems. Two remarkable formal tools for extracting such …
information from knowledge systems. Two remarkable formal tools for extracting such …
Attribute classification and reduct computation in multi-adjoint concept lattices
The problem of reducing information in databases is an important topic in formal concept
analysis, which has been studied in several articles. In this article, we consider the fuzzy …
analysis, which has been studied in several articles. In this article, we consider the fuzzy …
Algebraic structure and characterization of adjoint triples
Implications pairs, adjoint pairs and adjoint triples provide general residuated structures
considered in different mathematical theories. In this paper, we carry out a deep study on the …
considered in different mathematical theories. In this paper, we carry out a deep study on the …
[HTML][HTML] Attribute implications in multi-adjoint concept lattices with hedges
ME Cornejo, J Medina, FJ Ocaña - Fuzzy Sets and Systems, 2024 - Elsevier
The computation of (if-then) rules relating the most representative variables of a given
dataset is a relevant goal in different areas of data analysis such as stock market prediction …
dataset is a relevant goal in different areas of data analysis such as stock market prediction …
Uncertainty optimization based feature subset selection model using rough set and uncertainty theory
The rough set is a tool for the assessment of uncertainty, and the rough set reducts formation
is the technique to remove uncertainty in the feature set for feature subset selection. This …
is the technique to remove uncertainty in the feature set for feature subset selection. This …
A computational procedure for variable selection preserving different initial conditions
MJ Benítez-Caballero, J Medina… - … Journal of Computer …, 2020 - Taylor & Francis
The reduction of the set of attributes is an important preliminary challenge in order to obtain
information from knowledge systems. Two remarkable formal tools for extracting such …
information from knowledge systems. Two remarkable formal tools for extracting such …
Reducing concept lattices by means of a weaker notion of congruence
Attribute and size reductions are key issues in formal concept analysis. In this paper, we
consider a special kind of equivalence relation to reduce concept lattices, which will be …
consider a special kind of equivalence relation to reduce concept lattices, which will be …
Study on deduction process and inference methods of decision implications
Decision implication is a basic form of knowledge representation of Formal Concept
Analysis in the setting of decision-making. Inference rules are generally utilized to infer new …
Analysis in the setting of decision-making. Inference rules are generally utilized to infer new …
Algebraic structure of fuzzy signatures
Fuzzy signatures have been used for various applications, including medical diagnosis,
communication of robots based on intention guessing, and residential building evaluation …
communication of robots based on intention guessing, and residential building evaluation …
A comparative study of decision implication, concept rule and granular rule
S Zhang, D Li, Y Zhai, X Kang - Information Sciences, 2020 - Elsevier
Decision implication is a basic form of knowledge representation of formal concept analysis
in the setting of decision-making. Concept rules are decision implications that reveal the …
in the setting of decision-making. Concept rules are decision implications that reveal the …