Granular reduction in formal fuzzy contexts: graph representation, graph approach and its algorithm

Attribute reduction is one of the significant research issues in the formal fuzzy context (FFC). However, the extant method of computing the minimal granular reducts by Boolean reasoning is an NP problem. To this end, a graph-theoretic-based heuristic algorithm is proposed to compute the granular re...

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Veröffentlicht in:	The Artificial intelligence review Jg. 56; H. 12; S. 15101 - 15127
Hauptverfasser:	Gong, Zengtai, Zhang, Jing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Dordrecht Springer Netherlands 01.12.2023 Springer Springer Nature B.V
Schlagworte:	Algorithms Analysis Artificial Intelligence Attributes Computer Science Experiments Graph representations Graph theory Graphical representations Heuristic Heuristic methods Reduction Run time (computers) Transformation Formal fuzzy decision contexts Vertex covers Formal fuzzy contexts Granular reduction
ISSN:	0269-2821, 1573-7462
Online-Zugang:	Volltext
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