Results 151 to 160 of about 93,693 (238)
Nine quick tips for trustworthy machine learning in the biomedical sciences. [PDF]
Oneto L, Chicco D.
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Computational Homogenisation and Identification of Auxetic Structures with Interval Parameters. [PDF]
Beluch W +3 more
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AI-Driven Control Strategies for Biomimetic Robotics: Trends, Challenges, and Future Directions. [PDF]
Jung H +5 more
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Unsupervised Classification of Local Clathrate Hydrate Structures. [PDF]
Cai X, Striolo A, Salvalaglio M.
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Blockchain-driven smart contract with key exchange protocol for secure device-to-device communication using verkle tree K-ary structures. [PDF]
Simbu A, Nandakumar S, Saravanan K.
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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
semanticscholar +3 more sources
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
semanticscholar +3 more sources
m−Polar Fuzzy Graphs, 2018
The theory of Formal Concept Analysis (FCA) was introduced by Wille [1] for representation tasks and knowledge discovery. FCA analyze data comprising of objects, attributes and a relation between them. Then investigate formal concepts and connect them with a line diagram called concept lattice which plays a vital role in representation tasks.
M. Akram
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The theory of Formal Concept Analysis (FCA) was introduced by Wille [1] for representation tasks and knowledge discovery. FCA analyze data comprising of objects, attributes and a relation between them. Then investigate formal concepts and connect them with a line diagram called concept lattice which plays a vital role in representation tasks.
M. Akram
openaire +2 more sources
Unifying fuzzy concept lattice construction methods
2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2016Formal Concept Analysis (FCA) and its fuzzy extension have been widely used to arrange data into a lattice that is an effective data structure useful to address several aims, such as: data mining, ontology learning and merging, and so on. In literature it is possible to distinguish two main approaches to address fuzzy FCA implementation: the one-sided ...
BOFFA, STEFANIA +5 more
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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.
Ghosh, Partha +2 more
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