Novel Complex Intuitionistic Hesitant Fuzzy Distance Measures for Solving Decision-Support Problems by Shahzaib Ashraf, Muhammad Ahmed, Muhammad Naeem, Quashie Duodu

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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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THE USE OF MULTI-CRITERIAL DECISION ANALYSIS (MCDA) FOR ESTIMATING THE THERAPEUTIC VALUE OF INNOVATIVE DRUGS by V. K. Fedyaeva, V. V. Omelyanovskiy, N. Z. Musina, G. R. Khachatryan, O. I. Ivakhnenko

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Markov decision process for current density optimization to improve hydrogen production by water electrolysis by Purnami Purnami, Willy Satrio Nugroho, Wresti L. Anggayasti, Yepy Komaril Sofi'i, I.N.G. Wardana

“…Results show that this fluctuating control strategy is more effective than static or linearly increasing methods, as it helps minimize overpotential, reduce heat buildup, and prevent hydrogen bubble accumulation. …”
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The Effect of Clinical Decision Support System on the Success of Respirative Syncytial Virus (RSV) Prophylaxis by Gizem Karkın Tozlu, İpek Bozkurt, Serdar Kula

“…Methods: In October 2023, a CDSS was defined in HIS following the RSV prophylaxis indication protocol. …”
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Solving the Multiobjective Transportation Decision-Making Problem Based on Improved S-Type Membership Function by Xiang Ziquan, Yang Jiaqi, Muhammad Hamza Naseem, Xiang Zuquan

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Enhancing Breast Cancer Diagnosis With Multi-Resolution Vision Transformers and Robust Decision-Making by Margo Sabry, Hossam Magdy Balaha, Khadiga M. Ali, Tayseer Hassan A. Soliman, Dibson Gondim, Mohammed Ghazal, Norah Saleh Alghamdi, Ayman El-Baz

“…A stacking ensemble method combines predictions from ViT models trained at these levels, improving classification robustness. …”
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Decision tree for severity assessment of neurodegenerative diseases using possibility approach and gait dynamics by Preeti Khera, Ashok Kumar, Rajat Kapila

“…Abstract Accurate and timely diagnosis of neurodegenerative disease (NDD) severity is crucial for clinical needs. Existing assessment methods for grading disease severity are mostly dependent on movement disorder specialist opinion resulting in subjectivity and inherent limitations. …”
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A multi-dimensional decision framework based on the XGBoost algorithm and the constrained parametric approach by Xinxin Wang, BingBing Zhang, Zeshui Xu, Ming Li, Marinko Skare

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No decision about me, without me: Collaborating with young people in mental health research by Alex Lloyd, Tom (Chin‐Han) Wu, Laura Lucas, Adeola Agunbiade, Romana Saleh, Pasco Fearon, Essi Viding

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A fuzzy comprehensive evaluation method for assessing the damage degree of cultural relics based on an improved AHP-EWM coupled weight model and a modified ridge function by Anqi Guo, Peiling He, Qing Min, Shuqiang Xu

“…The asymmetric nearness method was employed in the final decision-making process so as to correct the error caused by the principle of maximum membership degree. …”
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An Object Driven Decision Model for Quantifying the Virtual Merkus Pine Tree's Environment Contribution by Ditdit Nugeraha Utama, Bakti Amirul Jabar

“…The model was constructed via two types of methods: an object-oriented approach for technical design and functional-structural plant modeling (FSPM) as a core method to construct a 3D virtual pine tree model. …”
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A Capsule Decision Neural Network Based on Transfer Learning for EEG Signal Classification by Wei Zhang, Xianlun Tang, Xiaoyuan Dang, Mengzhou Wang

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Emergency Optimization Decision-Making with Incomplete Probabilistic Information under the Background of COVID-19 by Ming Fu, Lifang Wang, Jiaming Zhu, Bingyun Zheng

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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 aim of this research is to design and validate a CDS algorithm for prescribing renin-angiotensin-aldosterone system inhibitors (RAASi) for older patients with diabetes.Methods The design of the CDS tool included the following phases: (1) gathering evidence from systematic reviews and meta-analyses of randomised clinical trials to determine the number needed to treat (NNT) and time-to-benefit (TTB) values applicable to our target population for use in the algorithm. (2) Building a list of potential cases that addressed different prescribing scenarios (starting, adding or switching to RAASi). (3) Reviewing relevant guidelines and extracting all recommendations related to prescribing RAASi for DKD. (4) Matching NNT and TTB with specific clinical cases. (5) Validating the CDS algorithm using Delphi technique.Results We created a CDS algorithm that covered 15 possible scenarios and we generated 36 personalised and nine general recommendations based on the calculated and matched NNT and TTB values and considering the patient’s life expectancy and functional capacity. …”
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Analyzing the Accuracy of Answer Sheet Data in Paper-based Test Using Decision Tree by Edy Suharto, Aris Puji Widodo, Suryono Suryono

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CLASSIFICATION OF AUDIO SOURCE CHANNELS USING TIME-FREQUENCY ANALYSIS AND DECISION TREE CLASSIFIER by Sagir Lawan, Ashraf A. Ahmad, Amina Jibril, Idrisu Mohammed, Kulu Ahmad Amalo

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Designing green robots with environmental sustainability by applying the concept of multi-criteria decision making by V. Sathiya, S. Mahalakshmi, S. Ramabalan, M. Chinnadurai

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Explaining Courage in Ethical Decision-making by Nursing Managers: A Qualitative Content Analysis by Mostafa Roshanzadeh, Zohreh Vanaki, Afsaneh Sadooghiasl, Ali Tajabadi, Somayeh Mohammadi

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Influential Factors of Respectful Maternity Care and Its Relationship with Women’s Future Fertility Decisions by Samaneh Youseflu, Maryam Moradi, Zahra Toghyani, Farzaneh Saadatmand, Maryam Gharib, Zohreh Haghighat-dana, Masoumeh Jalili, Shahnaz Kohan

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