One of the core problems in fuzzy concept lattice theory is creating fuzzy ideas from data with fuzzy properties. The problem of creating fuzzy concepts turns out to be the problem of computing all fixpoints of a given fuzzy operator that is associated with input data, because fuzzy concepts are the fixpoints of a particular fuzzy operator that is connected with input data. We've created ten rules for generating fixpoints for two fuzzy closure operators, and, in this post. After that, we give a new approach and methodology for computing fixpoints (fuzzy concepts), which are defined as min-generated fuzzy concepts, by combining all of the proposed criteria.
Author(s) Details
Partha Ghosh
Department of Mathematics, Goenka College of Commerce and Business Administration,
210, B. B. Ganguly Street, Kolkata-700012, India.
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