Results 41 to 50 of about 18,970 (289)
Complex linear Diophantine fuzzy sets and their cosine similarity measures with applications [PDF]
Complex & Intelligent Systems, 2021 AbstractIn this paper, the concept of complex linear Diophantine fuzzy set (CLDFS), which is obtained by integrating the phase term into the structure of the linear Diophantine fuzzy set (LDFS) and thus is an extension of LDFS, is introduced. In other words, the ranges of grades of membership, non-membership, and reference parameters in the structure ...
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, 2022 LPPM Universitas Sriwijaya is an institution that coordinates academic research and community service inside Universitas Sriwijaya. In carrying out the duty, LPPM assesses every proposal’s originality which would be impossible to do manually in the ...
Rini, Dian Palupi +2 more
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IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2013 — Document similarity can be used as a reference for other information searches similar. So as to reduce the time-re-appointment for information following a similar document.
Mardi Siswo Utomo, Edi Winarko
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Complexity, 2021 Since the user recommendation complex matrix is characterized by strong sparsity, it is difficult to correctly recommend relevant services for users by using the recommendation method based on location and collaborative filtering.
Lili Wang, Ting Shi, Shijin Li
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Similarity Measures of Spherical Fuzzy Sets Based on Cosine Function and Their Applications [PDF]
IEEE Access, 2019 In this paper, we defined ten similarity measures between spherical fuzzy sets (SFSs) based on the cosine function by considering the degree of positive-membership, degree of neutral-membership, degree of non-membership and degree of refusual-membership in SFSs. Then, we applied these similarity measures and weighted similarity measures between SFSs to
Guiwu Wei 0001 +4 more
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Scientific Reports, 2023 Dempster–Shafer evidence theory is an effective method to deal with information fusion. However, how to deal with the fusion paradoxes while using the Dempster’s combination rule is still an open issue.
Yongchuan Tang +5 more
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Medical diagnosis by roughness-cosine similarity measure in rough neutrosophic set environment / Suriana Alias … [et al.] [PDF]
, 2022 Diagnosing the types of disease before treatment starts is the most important task for medical staff. Usually, a patient’s disease is investigated based on the symptoms that exist such as temperature records for viral fever and stomach pain for malaria ...
Mustapha, Norzieha +4 more
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T1 Over Squared Proton Density Ratio to Characterize Multiple Sclerosis Lesions
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Differentiating remyelinated from demyelinated lesions in MS remains challenging without histological confirmation. This study introduces the T1‐to‐PD2 ratio (TPR) imaging approach and evaluates its ability to characterize MS lesions alongside other quantitative MRI (qMRI) metrics. Methods Thirty individuals with MS (mean age: 47.5 ±
Sarah J. Wright +10 more
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Cosine Similarity Measures Of Neutrosophic Soft Set
, 2016 In this paper we have introduced the concept of cosine similarity measures for neutrosophic soft set and interval valued neutrosophic soft set.An application is given to show its practicality and effectiveness.
Sumathi, I. R., Arockiarani, I.
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What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
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