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Titlebook: Artificial Intelligence Logic and Applications; The 3rd Internationa Songmao Zhang,Yonggang Zhang Conference proceedings 2023 The Editor(s)

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樓主: purulent
51#
發(fā)表于 2025-3-30 09:46:00 | 只看該作者
Conceptual Clustering Based on?Linguistic-Valued Layered Concept Lattice cannot handle fuzzy linguistic information. In this work, we propose a conceptual clustering based on linguistic-valued layered concept lattice is generated by the fuzzy linguistic coupling relationship between attributes. To obtain bi-clustering results for linguistic concepts, attribute-induced a
52#
發(fā)表于 2025-3-30 13:33:25 | 只看該作者
Clause and Literal Selection Strategies Based on Complementary Pair Distribution for Contradiction Sicity, multi-clauses involving, and synergy. In order to better utilize the synergy between clauses of this state-of-art automated deduction mechanism, this paper proposes two types of strategies for clause and literal selection during the deduction process. The first one is clause selection strateg
53#
發(fā)表于 2025-3-30 16:33:36 | 只看該作者
54#
發(fā)表于 2025-3-31 00:15:20 | 只看該作者
Conference proceedings 2023l papers and the 10 short papers included in this volume were carefully reviewed and selected from 56 submissions...This volume aims to provide novel ideas, original research achievements, and practical experiences in a broad range of artificial intelligence logic and applications..
55#
發(fā)表于 2025-3-31 04:26:29 | 只看該作者
Artificial Intelligence Logic and Applications978-981-99-7869-4Series ISSN 1865-0929 Series E-ISSN 1865-0937
56#
發(fā)表于 2025-3-31 06:01:58 | 只看該作者
Michael D. Max,Arthur H. Johnsonis a kind of important aggregation functions. We characterize WQAM operators based on a continuous triangular norm. Besides, some basic results and examples about these WQAM operators are given. Finally, a new multi-attribute decision model is presented to explain the application of these WQAM operators by a numerical example.
57#
發(fā)表于 2025-3-31 12:11:33 | 只看該作者
58#
發(fā)表于 2025-3-31 14:01:47 | 只看該作者
G. Kerschen,T. Detroux,G. Habibently. Among them, kernel-based non-negative matrix factorization maps data to high-dimensional space, which is a nonlinear NMF method and is mainly used to extract high-order features of image data. The feature information obtained by different kernel functions has different characteristics and mak
59#
發(fā)表于 2025-3-31 20:12:13 | 只看該作者
60#
發(fā)表于 2025-3-31 23:43:42 | 只看該作者
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