A New Classifier Design With Fuzzy Functions
, 2007 This paper presents a new fuzzy classifier design, which constructs one classifier for each fuzzy partition of a given system. The new approach, namely Fuzzy Classifier Functions (FCF), is an adaptation of our generic design on Fuzzy Functions to ...
Aktaş, Ramazan +4 more
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Automated Detection of Cancer Associated Genes Using a Combined Fuzzy-Rough-Set-Based F-Information and Water Swirl Algorithm of Human Gene Expression Data. [PDF]
PLoS One, 2016 Ganesh Kumar P, Kavitha MS, Ahn BC.
europepmc +1 more source
An attribute reduction algorithm based on fuzzy rough set
, 2010 Rough set theory has been a fruitful area in the field of knowledge discovery. Data mining algorithms are known to degrade in performance when faced with unnecessary attributes for rule extraction.
Agirgun, Bekir +2 more
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Exploring the anticancer activities of Sulfur and magnesium oxide through integration of deep learning and fuzzy rough set analyses based on the features of Vidarabine alkaloid. [PDF]
Sci RepAskr H +7 more
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Automatic message annotation and semantic interface for context aware mobile computing
, 2012 This thesis was submitted for the degree of Docter of Philosophy and awarded by Brunel University.In this thesis, the concept of mobile messaging awareness has been investigated by designing and implementing a framework which is able to annotate the ...
Al-Sultany, Ghaidaa
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Water quality assessment in the Harbin reach of the Songhuajiang River (China) based on a fuzzy rough set and an attribute recognition theoretical model. [PDF]
Int J Environ Res Public Health, 2014 An Y, Zou Z, Li R.
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Fuzzy Quantifier-Based Fuzzy Rough Sets
Annals of Computer Science and Information Systems, 2022 Adnan Theerens, Chris Cornelis
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Fuzzy Rough Sets with Hierarchical Quantitative Attributes
, 2012 [[abstract]]Machine learning can extract desired knowledge and ease the development bottleneck in building expert systems. Among the proposed approaches, deriving classification rules from training examples is the most common.
Liou, Yan-Liang, 洪宗貝, 王學亮
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A hybrid framework of hesitant fuzzy soft sets and rough sets for uncertainty modelling. [PDF]
Sci RepJahanvi, Nishad DK, Singh R, Khalid S.
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Constructing three-way classifier with interval granulation neighborhood rough sets based on uncertainty invariance. [PDF]
Front NeurorobotWang Y, Xu T, Huang R, Liu Z, Yang J.
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