Intelligent guarantee power supply decision method based on reinforcement learning algorithm by Milu Zhou, Huijie Sun, Tian Yang, Tingting Li, Qi Hou

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Using an algorithmic approach to shape human decision-making through attraction to patterns by Haran Shani-Narkiss, Baruch Eitam, Oren Amsalem

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Autonomous decision-making method of unmanned ship based on improved DDPG algorithm by Wei GUAN, Shuhui HAO, Zhewen CUI, Miaomiao WANG

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Decision making algorithm of the rehabilitation of agricultural lands contaminated with heavy natural radionuclides by Yu. V. Khomutinin, Yu. A. Ivanov, V. K. Kirichenko

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Intelligent interference decision algorithm with prior knowledge embedded LSTM-PPO model by ZHANG Jingke, YANG Kai, LI Chao, WANG Hongyan

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The algorithmic consumer: A conceptual investigation of AI’s influence on consumer preferences and decisions by Annur Islam Sifat

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Incremental attribute reduction algorithm for dominance-based neighborhood relative decision entropy by CHEN Baoguo, CHEN Lei, DENG Ming, LI Xiaoyan, CHEN Jinlin

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Genetic clustering algorithm by M. A. Anfyorov

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Models and algorithms for decision support and their use in the simulator training of air traffic control specialists by A. M. Matskevich

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An Experimental Comparison of Self-Adaptive Differential Evolution Algorithms to Induce Oblique Decision Trees by Rafael Rivera-López, Efrén Mezura-Montes, Juana Canul-Reich, Marco-Antonio Cruz-Chávez

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Research on Multi-Objective Evolutionary Algorithms Based on Large-Scale Decision Variable Analysis by Jianing Li, Sijia Xu, Jiaming Zheng, Guoqing Jiang, Weichao Ding

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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

“…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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The Value of Clinical Decision Support in Healthcare: A Focus on Screening and Early Detection by Hendrik Schäfer, Nesrine Lajmi, Paolo Valente, Alessandro Pedrioli, Daniel Cigoianu, Bernhard Hoehne, Michaela Schenk, Chaohui Guo, Ruby Singhrao, Deniz Gmuer, Rezwan Ahmed, Maximilian Silchmüller, Okan Ekinci

“…This review aims to (i) describe the purpose and mechanisms of CDS systems, (ii) discuss different entities of algorithms, (iii) highlight quality features, and (iv) discuss challenges and limitations of CDS in clinical practice. …”
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A mobile application-based decision support system for routing and decision making problems by Oğuz Bedel, Fehmi Özsoydan, Kutay Çetinkurt, Metehan Bolat

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

“…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

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

“…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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Concept of Reference Diagnostics as the Foundation for Developing Diagnostic Algorithm to Support Doctor’s Decision-Making by M. A. Yakushin, A. V. Vorobeva, M. D. Vasiliev, A. P. Kudrin, T. I. Yakushina, O. Yu. Arseenkova

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Decision based algorithm for circular pythagorean fuzzy framework and advanced petroleum exploration methods by Maria Nazir, Zeeshan Ali, Abrar Hussain, Kifayat Ullah, Oumaima Saidani

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Development of a Decision Support System for Urban Planning by Using K-means ++ Algorithm by Hussein Ali Salih, Ahmed Shihab Ahmed, Jalal Qais Jameel

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