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Found 1,146 Documents (Results 1–100)

Elements of fuzzy logic in solving clustering problems. (English) Zbl 1522.68584

Tchernykh, Andrei (ed.) et al., Mathematics and its applications in new computer systems. MANCS-2021. Proceedings of the international conference, Stavropol, Russia, December 13–15, 2021. Cham: Springer. Lect. Notes Netw. Syst. 424, 347-356 (2022).
MSC:  68T37 62H30
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A proposal to compare the similarity between musical products. One more step for automated plagiarism detection? (English) Zbl 1495.00031

Montiel, Mariana (ed.) et al., Mathematics and computation in music. 8th international conference, MCM 2022, Atlanta, GA, USA, June 21–24, 2022. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 13267, 192-204 (2022).
MSC:  00A65 68T10 62H86
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Clustering of single-cell transcriptome data based on evolutionary algorithm in assimilation with fuzzy C-means. (English) Zbl 1504.92090

Singh, Brahmjit (ed.) et al., Intelligent computing and communication systems. Singapore: Springer. Algorithms Intell. Syst., 227-235 (2021).
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Introduction to financial econometrics, mathematics, statistics, and machine learning. (English) Zbl 1454.91364

Lee, Cheng Few (ed.) et al., Handbook of financial econometrics, mathematics, statistics, and machine learning. Volume 1. Hackensack, NJ: World Scientific. 1-99 (2021).
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Fuzzy memories of Enrique Hector Ruspini (1942–2019). (English) Zbl 1499.01045

Lesot, Marie-Jeanne (ed.) et al., Information processing and management of uncertainty in knowledge-based systems. 18th international conference, IPMU 2020, Lisbon, Portugal, June 15–19, 2020. Proceedings. Part I. Cham: Springer. Commun. Comput. Inf. Sci. 1237, 14-26 (2020).
MSC:  01A70
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Blood gas predictions for patients under artificial ventilation using fuzzy logic models. (English) Zbl 1504.92055

Gusikhin, Oleg (ed.) et al., Informatics in control, automation and robotics. 14th international conference, ICINCO 2017 Madrid, Spain, July 26–28, 2017 Revised selected papers. Cham: Springer. Lect. Notes Electr. Eng. 495, 192-211 (2020).
MSC:  92C50 93C42
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Probabilistic and more general uncertainty-based (e.g., fuzzy) approaches to crisp clustering explain the empirical success of the K-sets algorithm. (English) Zbl 1484.68249

Shahbazova, Shahnaz N. (ed.) et al., Recent developments in fuzzy logic and fuzzy sets. Dedicated to Lotfi A. Zadeh. Cham: Springer. Stud. Fuzziness Soft Comput. 391, 61-80 (2020).
MSC:  68T37 62H30
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