Results 221 to 230 of about 330,117 (281)
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian +12 more
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Cosine similarity and distance measures for p , q - quasirung orthopair fuzzy sets: Applications in investment decision-making. [PDF]
Rahim M +4 more
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Deep Learning‐Assisted Coherent Raman Scattering Microscopy
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
wiley +1 more source
Evolution of Physical Intelligence Across Scales
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu +7 more
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Two‐photon polymerization enables high‐resolution microfabrication, but performing alignment when printing multiple structures is difficult. Here, we present a fast, robust, and open‐source protocol for automated alignment on Nanoscribe systems. Achieving ≈0.4 μm accuracy in under 5 s, our protocol reduces time and error in multimaterial printing. This
Daniel Maher +4 more
wiley +1 more source
A novel IFN-CSM-CoCoSo approach for multiple-attribute group decision-making with intuitionistic fuzzy sets: An application in assessing corporate social responsibility performance. [PDF]
Nie J.
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ROUGH FUZZY SETS AND FUZZY ROUGH SETS*
International Journal of General Systems, 1990The notion of a rough set introduced by Pawlak has often been compared to that of a fuzzy set, sometimes with a view to prove that one is more general, or, more useful than the other. In this paper we argue that both notions aim to different purposes.
Dubois, Didier, Prade, Henri
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Intuitionistic fuzzy sets and -fuzzy sets
Fuzzy Sets and Systems, 2000The definitions of the concepts of \(L\)-fuzzy sets, intuitionistic fuzzy sets (IFSs) [see \textit{K. Atanassov}, ibid. 20, 87--96 (1986; Zbl 0631.03040)] and intuitionistic \(L\)-fuzzy sets (IL-FSs) [see \textit{K. Atanassov} and \textit{S. Stoeva}, in: Cybernetics and systems research 2, Proc. 7th Eur.
Wang, Guojun, He, Yingyu
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International Journal of Foundations of Computer Science, 2007
Extending the notion of context-free languages and equational sets, we use the approximation theory to define boolean subsets and boolean fuzzy subsets of an algebra. We establish some basic properties of boolean fuzzy sets.
Ésik, Zoltán, Kuich, Werner
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Extending the notion of context-free languages and equational sets, we use the approximation theory to define boolean subsets and boolean fuzzy subsets of an algebra. We establish some basic properties of boolean fuzzy sets.
Ésik, Zoltán, Kuich, Werner
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Fuzzy Sets and Systems, 1992
Since A. Rosenfeld proposed the concept of fuzzy groups in 1971, fuzzy algebra forms a branch of fuzzy mathematics. The authors of this paper try to systematically study fuzzy subalgebras of a universal algebra, which is a kind of quite basic work including two parts of contents: one introduces some fundamental concepts such as \(T\)-fuzzy sets, \(LT\)-
Rasiowa, Helena, Nguyen Cat Ho
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Since A. Rosenfeld proposed the concept of fuzzy groups in 1971, fuzzy algebra forms a branch of fuzzy mathematics. The authors of this paper try to systematically study fuzzy subalgebras of a universal algebra, which is a kind of quite basic work including two parts of contents: one introduces some fundamental concepts such as \(T\)-fuzzy sets, \(LT\)-
Rasiowa, Helena, Nguyen Cat Ho
openaire +1 more source

