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Interval Valued Picture Fuzzy Aczel–Alsina Aggregation Operators and Their Application by Using the Multiattribute Decision Making Problem
Published 2023-01-01“…Recently, a lot of researchers worked on the Aczel–Alsina t-norm (TN) and t-conorm (TCN), which are generalizing many other t-norms and producing reliable results. In this article, first, we developed some new aggregation operators (AOs) and fundamental operational laws of Aczel–Alsina operations, including Aczel–Alsina product, sum, and scalar multiplication based on the IVPF information. …”
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Methodology for Assessing the Global Aggregate Demand for Digital Resources and Its Growth Rate Based on the Intersectoral Balance Model
Published 2023-12-01“…The article reveals the relevance of scientific research due to the need to develop a methodology for assessing the development of the global digital resources market in order to substantiate the digital development of the Republic of Belarus in modern conditions. …”
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1566
Changes or disappearance of the Atlantic goliath grouper Epinephelus itajara (Perciformes: Epinephelidae) spawning aggregation sites in southern Brazil
Published 2025-07-01“…In this article we determine patterns in aggregation abundance by observations we made between 2007 and 2014 on three natural and four artificial reefs in southern Brazil by comparing sightings-per-unit-effort (SPUE) among these reefs. …”
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Analysis of Cryptocurrency Market by Using q-Rung Orthopair Fuzzy Hypersoft Set Algorithm Based on Aggregation Operators
Published 2022-01-01“…The weighted average and weighted geometric aggregation operators are used in this article to define a multi-attribute decision-making approach. …”
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Cash Flow and Profit Impact on Capital Account Liberalization-Investment Growth Nexus in Nigeria: An Aggregated Firm Case
Published 2021-01-01“…The article examines the firm’s investment growth effect following capital liberalization and financial constraints. …”
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Minimum-latency data aggregation scheduling based on multi-path routing structures under physical interference model
Published 2018-05-01“…In this article, we propose a novel data aggregation scheduling algorithm under the physical interference model. …”
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Novel linguistic q-rung orthopair fuzzy Aczel-Alsina aggregation operators for group decision-making with applications
Published 2024-11-01“…In this article, we presented two novel approaches for group decision-making (GDM) that were derived from the initiated linguistic $ q $-rung orthopair fuzzy Aczel-Alsina weighted arithmetic (L$ q $-ROFAAWA) aggregation operator (AgOp) using linguistic $ q $-rung orthopair fuzzy numbers (L$ q $-ROFNs). …”
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Aggregate distributional cost-effectiveness analysis: a novel tool for health economic evaluation to inform resource allocation
Published 2025-04-01“…Unlike full DCEA, which requires detailed subgroup data, A-DCEA utilizes aggregated data, making it accessible and feasible for broader use. …”
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DCANet: A Dual-Branch Cross-Scale Feature Aggregation Network for Remote Sensing Image Semantic Segmentation
Published 2025-01-01“…Although existing dual-branch based methods enable feature complementarity, information redundancy during feature extraction and fusion hinders the full and effective utilization of multiscale features, thus limiting model performance. In this article, we introduce DCANet, a dual-branch cross-scale feature aggregation network based on an encoder–decoder framework, incorporating visual-state-space (VSS) blocks in the encoder branch to overcome the limitations of conventional convolutional neural networks in capturing global contextual information. …”
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Synthetic Control Analysis of the Short-Term Impact of New York State’s Bail Elimination Act on Aggregate Crime
Published 2024-01-01“…Supplementary materials for this article are available online.…”
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PI-ADFM: Enhancing Multimodal Remote Sensing Image Matching Through Phase-Integrated Aggregated Deep Features
Published 2025-01-01“…Moreover, the lack of comprehensive training data further limits the network's performance, which poses a formidable challenge to existing matching methods in securing adequate and evenly distributed corresponding points. This article proposes a novel method called phase-integrated aggregated deep feature matching (PI-ADFM), designed to address these challenges. …”
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