Results 191 to 200 of about 29,951 (232)

DGM: deep graph clustering with mincut for analysis of single-cell transcriptomics. [PDF]

BMC Genomics
Liu X, Chen X, Yang W, Yu Y.
europepmc   +1 more source

Applications of Entropy in Data Analysis and Machine Learning: A Review. [PDF]

Entropy (Basel)
Sepúlveda-Fontaine SA, Amigó JM.
europepmc   +1 more source

Energy-efficient clustering and routing for IoT-enabled healthcare using adaptive fuzzy logic and hybrid optimization. [PDF]

Sci Rep
Manchanda R, Panchal S, Sandiri R, Sudhamsu G, Mehta A, Gupta R, Bhowmik A, Bukate BB.   +7 more
europepmc   +1 more source

Intelligent unequal clustering in wireless sensor networks using a game theoretic and evolutionary strategy. [PDF]

Sci Rep
Qu Y, Qu Y, Zhu Z, Deng L, Xu X.
europepmc   +1 more source

A neuro-fuzzy multi-topology adaptive routing framework for QoS-aware healthcare IoT communications. [PDF]

Sci Rep
Parveen MS, Bhuvaneswari PTV.
europepmc   +1 more source

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Fuzzy topological vector spaces I

Fuzzy Sets and Systems, 1981
This is a continuation of ibid. 6, 85-95 (1981; Zbl 0463.46009). It is shown that a topology \(\tau\), on a vector space E, is linear iff the fuzzy topology \(\omega\) (\(\tau)\), consisting of all \(\tau\)-lower semicontinuous fuzzy sets, is linear. The fuzzy seminormed and the fuzzy normed linear spaces are introduced and some of their properties are
openaire   +5 more sources

Generated I-fuzzy topological spaces

Fuzzy Sets and Systems, 2005
Let \textbf{TOP} denote the category of topological spaces; [0, 1]-\textbf{TOP} the category of [0, 1]-topological spaces; \textbf{FYS} the category of fuzzifying topological spaces; and [0, 1]-\textbf{FTOP} the category of Šostak fuzzy topological spaces. The authors construct a pair of functors \(\omega:\) \textbf{FYS}\(\to [0, 1]\)-\textbf{FTOP} and
Yue, Yueli, Fang, Jinming
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FUZZY CHU SPACES AND FUZZY TOPOLOGIES

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2004
We show that each fuzzy (or in general L-) topological space can be represented as a fuzzy (or an L-) Chu space. Further, this representation preserves products, coproducts, tensor products, and hom-sets (together with the structures they are enriched with).
Srivastava, Arun K., Tiwari, S. P.
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On L-fuzzy topological spaces

Fuzzy Sets and Systems, 2005
This paper concerns the development of the theory of \(L\)-fuzzy topological spaces in the sense of Hutton and Höhle, where \(L\) denotes a completely distributive lattice. To every \(L\)-fuzzy set in a universe \(X\) a degree (belonging to \(L\)) has been assigned so that contrastedly to Chang's original definition a fuzzy set is no longer open or not
Zhang, Jie, Shi, Fu-Gui, Zheng, Chong-You   +2 more
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