CSIMQ Anniversary Editor-in-Chief Thoughts and Editorial Introduction to Issue 38: Model-based and Decision Support Methods for Next-generation Information Systems by Anders Flodström, Robert Andrei Buchmann, Andrea Morichetta

Subjects: “…decision support systems…”
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Development of a prognostic risk stratification model for HER2-positive breast cancer brain metastasis and its implications in guiding treatment decisions by Jiaxin Chen, Yuan Sh, Danfeng Dong, Huicui Yan, Huiqiang Zhang, Zisheng Wu, Jinmei Zhou, Xuexue Wu, Fei Chu, Zefei Jiang, Shanhu Li, Jin Yang, Ling Xu, Tao Wang

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Impact of massive open online courses in higher education using machine learning and decision based fuzzy frank power aggregation operators models by Feng Ye

“…This article is designed to illustrate insufficient and vague types of information in expert’s judgment using a multi-criteria group decision-making (MCGDM) problem. For this purpose, we modify the theoretical concepts of circular intuitionistic fuzzy set (Cir-IFS), which is an extended framework of fuzzy theory and intuitionistic fuzzy models. …”
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Glycated haemoglobin versus fasting plasma glucose for type 2 diabetes point of care screening: a decision model cost-effectiveness analysis by Francis Xavier Kasujja, Meena Daivadanam, Roy William Mayega, Fred Nuwaha, Ronald Kusolo, Elizabeth Ekirapa

“…Methods A cost-effectiveness analysis from a societal perspective was conducted for a single screening cycle of 1659 adults aged 35–70 years receiving care at the outpatient department of a general hospital. We constructed a decision analysis model using TreeAge Pro Healthcare v2023, with the cost estimated using an ingredient approach and the effectiveness measured based on the proportion of patients correctly diagnosed with diabetes. …”
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Selection of AI model for predicting disability diseases through bipolar complex fuzzy linguistic multi-attribute decision-making technique based on operators by Ubaid ur Rehman, Meraj Ali Khan, Ibrahim Al-Dayel, Tahir Mahmood

“…Abstract The selection of suitable AI models to predict disability diseases stands as a vital multi-attribute decision-making (MADM) task within healthcare technology. …”
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Development of A Novel Discharge Routing Method Based On the Large Discharge Dataset, Muskingum Model, Optimization Methods, and Multi-Criteria Decision Making by Mahdi Valikhan Anaraki, Saeed Farzin, Iman Ahmadianfar, Amin Shams

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Enhanced prediction of heating value of municipal solid waste using hybrid neuro-fuzzy model and decision tree-based feature importance assessment by Oluwatobi Adeleke, Obafemi O. Olatunji, Tien-Chien Jen, Iretioluwa Olawuyi

“…The robust integrated approach of hybrid neuro-fuzzy model, with decision tree-based feature importance assessment, offers an effective approach for enhancing the prediction of HHV of MSW. …”
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Inflammatory activity levels on patients with anti-TNF therapy: most important factors and a decision tree model based on REGISPONSER and RESPONDIA registries by David Castro Corredor, Luis Ángel Calvo Pascual, Eduardo Collantes-Estévez, Clementina López-Medina

“…We evaluated these factors using 182 machine learning models, and, finally, we selected a decision tree model that offered comparable performance with reduced overfitting. …”
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Applying fuzzy analytic hierarchy process to select models developed by abstraction and decision fusion architecture (case study: classification of Persian handwritten characters) by Mohammad Safaei, Somaye Moghari, Mohammad Kazem Fallah, Mehrdad Ghaznavi

“…Purpose: This research presents an application-oriented approach for developing machine learning models that consider the trade-off between model accuracy, processing speed, and efficient resource utilization, focusing on applications such as wearable smart systems.Methodology: A set of models is developed based on the Abstraction and Decision Fusion Architecture (ADFA), and then, using a multi-criteria decision-making approach, the appropriate models for the intended application are identified. …”
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Renewable Energy from Solid Waste: A Spherical Fuzzy Multi-Criteria Decision-Making Model Addressing Solid Waste and Energy Challenges by Nattaporn Chattham, Nguyen Van Thanh, Chawalit Jeenanunta

“…In this study, the authors proposed a Spherical Fuzzy Multi-Criteria Decision-making Model (SFMCDM) for site selection in solid waste-to-energy projects. …”
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Developing a fuzzy Topsis decision-making model to select the optimal place to buy real estate in Tehran from an investor's point of view. by Saeid Karimi

“…Abstractthe purpose of this paper is fuzzy multi-criteria decision-making models topsis to select the optimal location from the perspective of the investor is buying real estate in the city of Tehran, Survey and functional. …”
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A decision framework for a farmer who is risk averse in the Arrow-Pratt sense and downside risk averse by Guillermo Donoso

“…This is relevant for asymmetrical return distributions. This general model contains the classical decision model as a special case. …”
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Modélisation de répartition d’élèves et délimitation de secteurs scolaires en milieu urbain by Théophile Emmanouilidis

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Network Visualization of Cooperative Games by Carlos I. Pérez-Sechi, Javier Castro, Daniel Gómez, Daniel Martín, Rosa Espínola, Inmaculada Gutiérrez

Subjects: “…decision modeling…”
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HYBRID RESOURCE FORECASTING SYSTEM FOR BANDAGE OF LOCOMOTIVE WHEELS by A. M. Lyashchenko, V. G. Ruban, S. A. Hachkinayan

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Development of an integrated reactor model package for optimizing the operating modes of the sulfur production unit by Batyr Orazbayev, Nazgul Kurbangaliyeva, Kulman Orazbayeva, Ainur Zhumadillayeva, Xiaoguang Yue

Subjects: “…Model package…”
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Credit Risks of Russian Commercial Banks: New Approaches to Management by M. F. Gumerov, I. A. Rizvanova

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Robustness of the Multi-Attribute Utility Model for Bridge Maintenance Planning by Zaharah Allah Bukhsh, Irina Stipanovic, Sandra Skaric Palic, Giel Klanker

“…With the purpose to support maintenance planning, a multi- objective decision-making model is introduced in this paper. …”
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Realtime Monitoring of Animal Behavior Using Deep Learning Models by Romesa Rao, Salman Qadri, Rao Kashif

“…For behavior classification, we initially applied a decision tree algorithm, achieving an accuracy of 60%. …”
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A panel data model to predict airline passenger volume by Xiaoting Wang, Junyu Cai, Junyan Wang

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