Decision support framework for location selection and disaster relief network design by Giuseppe Timperio, Gajanan Bhanudas Panchal, Avinash Samvedi, Mark Goh, Robert De Souza

“…Purpose – The purpose of this paper is to provide a decision support framework for locations identification to address network design in the domain of disaster relief supply chains. …”
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Metabolic state alters economic decision making under risk in humans. by Mkael Symmonds, Julian J Emmanuel, Megan E Drew, Rachel L Batterham, Raymond J Dolan

“…Circulating hormones report the status of energy reserves and acute nutrient intake to widespread targets in the central nervous system that regulate feeding behaviour, including brain regions strongly implicated in risk and reward based decision-making in humans. Despite this, physiological influences per se have not been considered previously to influence economic decisions in humans. …”
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A Decision Support System for Optimal Building Cold Source Selection by Qing Li, Yan Dong, Rong-Guang Cao, Le Li, Zhi-Bin Chen

“…Based on existing approaches to construction project evaluation and the selection of cold source systems, we establish an evaluation index for building cold source system functional models and network structures. This approach can take into account the impact of cost on decisions. …”
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User-experience testing of an evidence-to-decision framework for selecting essential medicines. by Thomas Piggott, Lorenzo Moja, Carlos A Cuello Garcia, Elie A Akl, Rita Banzi, Benedikt Huttner, Tamara Kredo, John N Lavis, Holger J Schünemann

“…The criteria used by WHO's Expert Committee on the Selection and Use of Essential Medicines has parallels to the GRADE Evidence-to-Decision (EtD) frameworks. In this study, we explored the EtD frameworks and a visual abstract as adjunctive tools to strengthen the integrate evidence and improve the transparency of decisions of EML applications. …”
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Precise wind allocation scheme decision based on attraction-repulsion algorithm by NI Jingfeng, CHEN Dunwei, LIU Yujiao

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Modelo computacional para suporte à decisão em áreas irrigadas. Parte II: testes e aplicação Computer model for decision support in irrigated areas. Part II: tests and application by Paulo A. Ferreira, João C. F. Borges Júnior, Bettina Hedden-Dunkhorst, Camilo de L. T. de Andrade

“…<br>Part I of this research presented the development of a decision support model, called MCID, for planning and managing irrigation and/or drainage projects. …”
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Constrained Restless Bandits for Dynamic Scheduling in Cyber-Physical Systems by Kesav Ram Kaza, Rahul H. Meshram, Varunkumar Mehta, Shabbir N. Merchant

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How to improve university-enterprise cooperation: application of intuitionistic fuzzy multi-attribute decision-making method based on decision-maker preferences in university-enter... by Ye Zhang, Ziqun Zhang, Xinrong Chen

“…However, assessing the quality of such cooperation from the student perspective remains a challenge due to subjective uncertainty and varying attribute importance.MethodsThis study, conducted at universities of applied sciences in China, developed an intuitionistic fuzzy multi-attribute decision-making (IFMADM) model to evaluate student satisfaction with UEC. …”
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A WeChat-Based Decision Aid Intervention to Promote Informed Decision-Making for Family Members Regarding the Genetic Testing of Patients With Colorectal Cancer: Randomized Control... by Huanhuan Li, Yanjie Zhao, Wei Li, Wenxia Wang, Shengze Zhi, Yifan Wu, Qiqing Zhong, Rui Wang, Jiao Sun

“…The effects of the intervention were analyzed using generalized estimating equation models. ResultsStatistically significant improvements were observed in knowledge (T1: β=2.049, P<.001; T2: β=3.317, P<.001), decisional conflict (T1: β=–11.660, P<.001; T2: β=–17.587, P<.001), and decision self-efficacy (T1: β=15.353, P<.001; T2: β=22.337, P<.001) in the DA group compared with the usual care group at both T1 and T2. …”
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A study on the prediction of mountain slope displacement using a hybrid deep learning model by Yuyang Ma, Xiangxiang Hu, Yuhang Liu, Yaya Shi, Zhiyuan Yu, Xinmin Wang, Liangbai Hu, Shuailing Liu, Dongdong Pang

Subjects: “…Long Short-Term Memory (LSTM) model…”
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Urban Flood Modelling: A Geospatial Evaluation of Drainage Systems for Resilient City Planning in Lusaka by Penjani Hopkins Nyimbili, Mukuka Himunga Mulenga, Bwalya J. Kawimbe, Faustin A. S. Banda, Erastus Misheng’u Mwanaumo, Wellington Didibhuku Thwala

Subjects: “…Urban Flood Model…”
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Comprehensive Evaluation of Operation Safety of Earth-rock Dams Based on Weight Optimization-cloud Model by ZHANG Jianwei, WU Weitao, HOU Ge, HUANG Jinlin, WANG Bingpeng, LIU Hongze, HU Zixu

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A Research on Red Meat Consumption and Preferences: A Case Study in Tekirdağ Province by Ebru Onurlubaş, Neslihan Yılmaz, Hasan Gökhan Doğan, Halil Kızılaslan

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Medical Waste Management Based on an Interval-Valued Fermatean Fuzzy Decision-Making Method by Murat Kirisci

“…This method can guarantee high safety and security for health practitioners and society through effective modeling and ranking of risks associated with medical waste disposal. …”
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Comparing prediction accuracy for 30-day readmission following primary total knee arthroplasty: the ACS-NSQIP risk calculator versus a novel artificial neural network model by Anirudh Buddhiraju, Michelle Riyo Shimizu, Tony Lin-Wei Chen, Henry Hojoon Seo, Blake M. Bacevich, Pengwei Xiao, Young-Min Kwon

“…While the ANN demonstrated good discrimination and calibration (area under the curve (AUC)ANN = 0.72, slope = 1.32, intercept = −0.09) in the validation cohort, the SRC demonstrated poor discrimination (AUCSRC = 0.55) and underestimated readmission risk (slope = −0.21, intercept = 0.04). Although both models possessed similar accuracy (Brier score: ANN = 0.03; SRC = 0.02), only the ANN demonstrated a higher net benefit than intervening in all or no patients on the decision curve analysis. …”
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Machine Learning-Based Analysis of Travel Mode Preferences: Neural and Boosting Model Comparison Using Stated Preference Data from Thailand’s Emerging High-Speed Rail Network by Chinnakrit Banyong, Natthaporn Hantanong, Supanida Nanthawong, Chamroeun Se, Panuwat Wisutwattanasak, Thanapong Champahom, Vatanavongs Ratanavaraha, Sajjakaj Jomnonkwao

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PyIT2FLS: An open-source Python framework for flexible and scalable development of type 1 and interval type 2 fuzzy logic models by Amir Arslan Haghrah, Sehraneh Ghaemi, Mohammad Ali Badamchizadeh

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Comprehensive evaluation and ranking of CMIP6 global climate models for simulating climate extreme indices across diverse hydrological and geographical regions of Nepal by Shiksha Bastola, Koshish Raj Maharjan, Innkyo Choo, Younghun Jung

Subjects: “…Climate Model Evaluations…”
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Forecasting of Inflation Based on Univariate and Multivariate Time Series Models: An Empirical Application by Hasnain Iftikhar, Faridoon Khan, Paulo Canas Rodrigues, Abdulmajeed Atiah Alharbi, Jeza Allohibi

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Unique Method for Prognosis of Risk of Depressive Episodes Using Novel Measures to Model Uncertainty Under Data Privacy by Barbara Pękala, Dawid Kosior, Wojciech Rząsa, Katarzyna Garwol, Janusz Czuma

“…To achieve this goal, a novel decision-making algorithm is used that employs interval entropy measures based on the theory of interval-valued fuzzy sets. …”
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