Showing 41 - 60 results of 5,488 for search 'decision three algorithm', query time: 0.09s Refine Results
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    Optimisation Study of Investment Decision-Making in Distribution Networks of New Power Systems—Based on a Three-Level Decision-Making Model by Wanru Zhao, Ziteng Liu, Rui Zhang, Mai Lu, Wenhui Zhao

    Published 2025-07-01
    “…This paper addresses the scientific needs for investment decision-making in distribution networks against the backdrop of new power systems, constructing a three-tier decision-making system that includes investment scale decision-making, investment structure allocation, and investment project prioritization. …”
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  9. 49

    Optimisation of decision making for construction projects of assembly buildings based on improved PSO algorithm by Peng Wang

    Published 2025-03-01
    “…To tackle the issue of early convergence in particle swarm algorithms, three swarm enhanced particle swarm algorithms are proposed by merging the variational mechanism of the differential evolution algorithm and quantifying the decision making tasks for assembly building construction projects to be solved by the enhanced particle swarm algorithm. …”
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    Designing and validating a clinical decision support algorithm for diabetic nephroprotection in older patients by Simon LeClerc, Nicolas Fernandez, Kelley Kilpatrick, Cheryl Sadowski, Noor Alsalemi, Naoual Elftouh, Jean-Philippe Lafrance, Sherilyn Houle

    Published 2024-09-01
    “…The algorithm was validated by experts in three rounds of Delphi study.Conclusion We designed an evidence-informed CDS algorithm that integrates considerations often overlooked in CPGs. …”
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  11. 51

    Personalized Recommendation Algorithm for Cultural and Creative Products Based on Fuzzy Decision Support System by Lin Shi, Xiaoqing Yang

    Published 2025-05-01
    “…This research shows that the strategy may assist industrial designers in creating better color schemes for creative and cultural products by incorporating group users’ visual preferences into purchasing intention via multiuser decision consistency. The simulation outcome demonstrates that the suggested model increases the purchase intention prediction ratio of 97.8%, customer emotional satisfaction ratio of 98.5%, product development ratio of 96.2%, recommendation accuracy ratio of 95.2%, and product design costs of 7.3% compared to other existing models. …”
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