Rough fuzzy hybridization is a method of hybrid intelligent system or soft computing, where Fuzzy set theory is used for linguistic representation of patterns, leading to a fuzzy granulation of the feature space. Rough set theory is used to obtain dependency rules which model informative regions in the granulated feature space.
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Case generation
A textbook
March 04, 2024
rough, fuzzy, hybridization, this, article, includes, list, references, related, reading, external, links, sources, remain, unclear, because, lacks, inline, citations, please, help, improve, this, article, introducing, more, precise, citations, april, 2009, le. This article includes a list of references related reading or external links but its sources remain unclear because it lacks inline citations Please help to improve this article by introducing more precise citations April 2009 Learn how and when to remove this template message Rough fuzzy hybridization is a method of hybrid intelligent system or soft computing where Fuzzy set theory is used for linguistic representation of patterns leading to a fuzzy granulation of the feature space Rough set theory is used to obtain dependency rules which model informative regions in the granulated feature space External links editCase generation A textbook Retrieved from https en wikipedia org w index php title Rough fuzzy hybridization amp oldid 1129301125, wikipedia, wiki, book, books, library,
