When investigator meets large language models: a qualitative analysis of cancer patient decision-making journeys by Neta Shanwetter Levit, Mor Saban

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Correction: A decision-making model for the adaptive reuse of ‘buildings of control and reform’: the Nossa Senhora Village, Macau by Wenkai Li, Xi Ye, Bo-Wei Zhu

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Deep learning driven interpretable and informed decision making model for brain tumour prediction using explainable AI by Khan Muhammad Adnan, Taher M. Ghazal, Muhammad Saleem, Muhammad Sajid Farooq, Chan Yeob Yeun, Munir Ahmad, Sang-Woong Lee

“…This helps build their confidence in the model and enables them to make better-informed decisions. …”
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On Fostering Predictions in Data-Driven Reduced Order Model for Eulerian–Lagrangian Simulations: Decision of Sufficient Training Data by Kai-en Yang, Shuo Li, Guangtao Duan, Mikio Sakai

“…It is demonstrated that when the training data is determined under the proposed feasibility index [Formula: see text] 2, the consistency of granular dynamics between SM and the high-fidelity model can be guaranteed. Employed in a representative SM, a reduced order model (ROM), this technique enables the successful decision of sufficient training data, resulting in the remarkable predictability in violent fluid-solid flows without trial-and-error. …”
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Integrating wind damage vulnerability into long-term forest planning: An optimisation-based model for spatial decision support by Karin Öhman, IreneDe Pellegrin Llorente, Teresa Fustel, Inka Bohlin, Tomas Lämås, Jeannette Eggers

Subjects: “…Decision support…”
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Multi-criteria decision model for multicircular flight control of unmanned aerial vehicles through a hybrid approach by Noorulden Basil, Hamzah M. Marhoon, Bayan Mahdi Sabbar, Abdullah Fadhil Mohammed, Osamah Albahri, Ahmed Albahri, Abdullah Alamoodi, Iman Mohamad Sharaf, Amare Merfo Amsal, Mahrous Ahmed, Enas Ali, Sherif S. M. Ghoneim

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Model Klasifikasi IPK Mahasiswa Menggunakan Algoritma Decision Tree dan Random Forest Berbasis Feature Engineering by Muhammad Aditya Firman, Said Azka Fauzan Djamalilleil, Wilman Zega, Lusiana Efrizoni, Rahmaddeni Rahmaddeni

“…Penelitian ini bertujuan untuk membangun model prediksi IPK menggunakan algoritma Decision Tree dan Random Forest berbasis Feature Engineering. …”
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Protocol: Systematic Literature Review on coordination mechanisms for the mathematical programming models in production planning with decentralized decision making by Gregorio Rius-Sorolla, Julien Maheut, Sofía Estelles-Miguel, José Pedro Garcia-Sabater

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Fuzzy Group Decision Making Model for Identifying and Ranking of Success Factors in Fraud Prevention in Iranian E-banking by Alireza Alizadeh, Mehri Chehrehpak

“…For this purpose, we first review the literature to find potential factors, then identified factors were weighted by using fuzzy group multi criteria decision-making model and experts' judgment. The results show that for elimination fraud in e-banking systems it is necessary to pay attention to technical, operational, strategic and financial factors respectively…”
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Relationship between occupational stress and occupational injury of workers in a cable manufacturing enterprise by decision tree model by Ting XU, Juan QIAN, Yishuo GU, Daozheng DING, Jianjian QIAO, Yong QIAN, Xiaojun ZHU, Jingguang FAN

“…Logistic regression was used to identify factors influencing occupational stress, and a decision tree model was applied to assess the impact of occupational stress on injury risk. …”
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A multi-criteria decision making model to locate the hub ports (case study: the maritime industry of Iran) by Amir Zabihi, Mohsen Gharehkhani

“…In this paper, two Multiple Criteria Decision Making (MCDM) models are applied to evaluate and select hub port in the shipping industry. …”
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Urban building energy models: how can we improve the treatment of uncertainty for energy policy decision-making? by Pamela J Fennell, Shima Ebrahimigharehbaghi, Érika Mata, Georgios Kokogiannakis, Shyam Amrith, Sotiria Ignatiadou, Samuele Lo Piamo

“…Urban Building Energy Models (UBEMs) are emerging as a powerful tool for cities and regions seeking to make decisions on the best pathways for increasing the energy efficiency of their buildings. …”
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Comparison of the performance of random forest and decision tree models in predicting the risk of poor prognosis in diabetic foot patients by PENG Ying, ZHENG Hailan, QI Mingxia, JIANG Lan

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A Radar-Based System for Detection of Human Fall Utilizing Analog Hardware Architectures of Decision Tree Model by Vassilis Alimisis, Dimitrios G. Arnaoutoglou, Emmanouil Anastasios Serlis, Argyro Kamperi, Konstantinos Metaxas, George A. Kyriacou, Paul P. Sotiriadis

“…The proposed classifier architectures are based on different approximations of the Decision tree classification model. The architectures consist of three main building blocks: sigmoid function circuit, analog multiplier and an argmax operator circuit. …”
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Multi-Criteria Decision Making Model For Hotel Selection Problem Under Complex Dual Hesitant Fuzzy Information by Rasool Niaz Khan, Muhammad Sajjad Ali Khan, Wali Khan Mashwani, Muhammad Ibrar, Tapan Senapati, Sarbast Moslem

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Assessing Customer Satisfaction of Urban Rail Transit Network in Tianjin Based on Intuitionistic Fuzzy Group Decision Model by Yuning Wang, Zhe Zhang, Hui Sun

“…This paper presents an intuitionistic fuzzy group decision model to evaluate the customer satisfaction of urban rail transit. …”
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The Use of Generative Artificial Intelligence for Business Decision-Making by Al Mummar, Ana Pacheco, Sean Saunders, Lisa Ratliff-Villarreal, Alexa Schmitt

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MODELING OF URBAN TRANSPORT NETWORK by Aleksei Sorokin

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Psychometric Study of Two Decision-Making Measures: The Melbourne Decision-Making Questionnaire versus the General Decision-Making Style Questionnaire by Anton Aluja, Ferran Balada, Oscar García, Luis F. García

“…This study compares the Melbourne Decision-Making Questionnaire (MDMQ) and the General Decision-Making Style questionnaire (GDMS), two of the most widely used decision-making questionnaires in the literature, in a large age- and sex-weighted general population sample of 714 men (45.7%) and 848 women (54.3%) between 18 and 90 years old. …”
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Explainable modeling for wind power forecasting: A Glass-Box model with high accuracy by Wenlong Liao, Jiannong Fang, Birgitte Bak-Jensen, Guangchun Ruan, Zhe Yang, Fernando Porté-Agel

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