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Design and analysis of a GaN-based 2D photonic crystal biosensor integrated with machine learning techniques for detection of skin diseases. [PDF]
N H, A S.
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Fuzzy inference based on fuzzy concept lattice
Fuzzy Sets and Systems, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wen-Xiu Zhang
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Fuzzy graph representation of a fuzzy concept lattice
Fuzzy Sets and Systems, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Debasis Sarkar
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Construction of the L-fuzzy concept lattice
Fuzzy Sets and Systems, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ana Burusco
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Neural Processing Letters, 2018
Recently, several properties of complex fuzzy sets are introduced to measure the changes in dynamic or periodic fuzzy attributes using its amplitude and phase terms. In this process, a problem is observed while discovering some of the meaningful information from the given complex data sets for the knowledge processing tasks.
Prem Kumar Singh, Singh Prem Kumar
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Recently, several properties of complex fuzzy sets are introduced to measure the changes in dynamic or periodic fuzzy attributes using its amplitude and phase terms. In this process, a problem is observed while discovering some of the meaningful information from the given complex data sets for the knowledge processing tasks.
Prem Kumar Singh, Singh Prem Kumar
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Bipolar fuzzy graph representation of concept lattice
Information Sciences, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Aswani Kumar Cherukuri, Prem Kumar Singh
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Measuring change in fuzzy concept lattices
2012 12th UK Workshop on Computational Intelligence (UKCI), 2012The quantity of unstructured and semi-structured data available is growing rapidly. Adding structure to such data (by means of ontologies and tag-based taxonomic classifications) is potentially a very productive approach, which can lead to additional knowledge (e.g. by monitoring association and other relations between classes) as well as enabling more
Trevor P. Martin +2 more
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Fuzzy Concept Lattice Based Classifier
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007), 2007The large collection of formal concepts can be a hedge of the application of FCA. Development of methods which help to overcome the problem of the huge size of concept lattice is thus an important task. This paper proposes clustering-based reduction algorithm for reducing the size of fuzzy concept lattices.
Wen Zhou 0001 +6 more
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The Object Enlargement of Fuzzy Concept Lattices
2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008In the areas of database maintenance, an important practical aspect is the data management. In this paper, approaches to data enlargement based on similarity relations of the fuzzy concept lattices is proposed. To satisfy different requirement, the exact enlargement and the approximate enlargement are considered respectively.
Lei Zhao, Guosheng Cheng
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On equivalence of fuzzy concept lattice
2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2011The notion of equivalence in fuzzy concepts based on the pinned-flag of fuzzy set is introduced, and then the equivalence class of fuzzy concept lattice is defined. Some propositions of them are proposed. Furthermore, the refinement in fuzzy concepts is defined according to the covering of a set, and the relation between the refinement and the ...
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