A website evaluation model by integration of previous evaluation models using a quantitative approach by Ali Moeini, Mohammad Mousakhani, Ali Reza Hasanzadeh, Emad Farazmand

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A Rule-Based Predictive Model for Estimating Human Impact Data in Natural Onset Disasters—The Case of a PRED Model by Sara Rye, Emel Aktas

“…<i>Results:</i> Predictive model for Estimating Data (PRED) is developed as a decision-making platform based on the Disaster Severity Analysis (DSA) Technique. …”
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Identification of quality problems staff vocational training by Vera V. Zhivaeva, Vadim A. Nikovaev, Svetlana N. Parfenova, Elena P. Tuponosova

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Towards the Development of an Eco-Design Approach for Aircraft Components by Aikaterini Anagnostopoulou, Dimitrios Sotiropoulos, Giannis Floros, Konstantinos Tserpes

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Classification of the Condition of Cancer Patients Receiving Home Health Care with Machine Learning Methods by Mürsel Kahveci

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Application of a Three-Stage Procedure for Extracting a Small-Sized Anchor Object on a Noisy Image by Sotnikov O.M., Vorobiov O.M., Udovenko S.G., Kobzev I.V., Vlasiuk V.V., Kurbatov A.A.

“…It is proposed to refine the maximum of the decision function based on the iteration method. The most significant results are the obtained dependences of the probability of choosing a fragment of the reference image on the threshold value and the signal-to-noise ratio, as well as the analytical relation for the asymptote of this dependence. …”
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MCDM and Various Prioritization Methods in AHP for CSS: A Comprehensive Review by Jayadev Gyani, Ahsan Ahmed, Mohd Anul Haq

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A novel hybrid MCDM framework combining TOPSIS, PROMETHEE II, and VIKOR for peach drying method selection by Burak Gülmez

“…This study introduces a novel hybrid multi-criteria decision-making (MCDM) framework combining TOPSIS, VIKOR, and PROMETHEE II methods to evaluate eight drying technologies. …”
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A Fuzzy Method for Exploring Key Factors of Smart Healthcare to Long-Term Care Based on Z-Numbers by Chen-Tung Chen, Chien-Chi Chu

“…As Z-numbers are capable of adequately expressing the ambiguity of expert assessments and the degree of certainty associated with them, they are employed in this study to convey the opinions of the experts. Furthermore, the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method is an effective approach to analyzing the relationships between factors. …”
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Prioritizing Key Parameters for Sustainable Supply Chain Development in the Construction Industry Using a Copeland Hybrid Method by Ataollah Shirazi, Hossein Mohammadi Dolat-Abadi, Jaber Dehghani, Mahnaz Asgari Sooran

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Emergency admission Predictive RIsk Stratification Models: Assessment of Implementation Consequences (PRISMATIC 2): a protocol for a mixed-methods study by Mark Kingston, Helen Snooks, Alan Watkins, Christopher Burton, Jeremy Dale, Jan Davies, Alex Dearden, Bridie Evans, Bárbara Santos Gomes, Jenna Jones, Rashmi Kumar, Alison Porter, Bernadette Sewell, Emma Wallace

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Hospital site selection based on two-phase multi-criteria group decision-making method using interval-valued Fermatean fuzzy Aczel–Alsina averaging aggregation operators by Bibhuti Bhusana Meher, S. Jeevaraj

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Leveraging inter-organizational networks to scale up a sepsis recovery program: results from an application of the Making Optimal Decisions for Intervention Flexibility during Impl... by Cheyenne R. Wagi, Marc A. Kowalkowski, Stephanie P. Taylor, Aliza Randazzo, Asha Ganesan, Amit Khanal, Sarah A. Birken

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A method for extracting water from barrier lake in high mountain areas based on decision tree classification: A case study of Attabad barrier lake on the Karakoram Highway by Yousan LI, Guangchao CAO, Meiliang ZHAO, Wenqian YE, Wanqiang QI, Hongkui YANG, Yuanzhao WU, Qiang GU, Yuguo LU, Shilin WANG

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A new method for determining factors Influencing productivity of deep coalbed methane vertical cluster wells by HUANG Li, XIONG Xianyue, WANG Feng, SUN Xiongwei, ZHANG Yixin, ZHAO Longmei, SHI Shi, ZHANG Wen, ZHAO Haoyang, JI Liang, DENG Lin

“…Predictions using the neural network method were more accurate, with a relative error of less than 10% compared to measured values. 2） Using Kendall's tau-b correlation analysis, the discrete dominant factor was identified as the microstructural position, primarily located in uplifted positive structural zones, with the secondary factor being fracture development, categorized mainly as “well-developed” or “developed.” 3） By combining lasso regression-random forest- decision tree algorithm to iteratively eliminate irrelevant factors, the continuous dominant factors influencing productivity were ranked in descending order as: ash content, average construction discharge rate, total sand volume pumped, flowback rate at gas breakthrough, net pay thickness, acoustic travel time, gamma ray log value, average construction pressure, percentage of 100-mesh sand, and average gas measurement value. …”
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Mean-Median Compromise Method: A Novel Deepest Voting Function Balancing Range Voting and Majority Judgment by Ruffin-Benoît M. Ngoie, Selain K. Kasereka, Jean-Aimé B. Sakulu, Kyandoghere Kyamakya

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A method of determining the carbon emission reduction contribution of regional distribution networks based on spherical fuzzy sets by Puliang Du, Miaoheng Yang, Wei Hu, Pengfei Wang, Qiang Xing

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Achieving sustainable urban mobility with a modified VIKOR method to improve the selection of a park and ride system by Belén Muñoz-Medina, Javier Ordoñez, Manuel G. Romana, Vicente Alcaraz Carrillo de Albornoz

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Electricity Carbon Coupled Market Modeling Method and Market Optimization Mechanism Based on Dynamic Carbon Emission Intensity by Tong ZHAO, Xuesong LI, Hao ZHOU, Yu DING, Bin YANG, Wentao WANG, Peng WANG

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Fuzzy evaluation and explainable machine learning for diagnosis of rheumatic and autoimmune diseases by Mohammed Fadhil Mahdi, Arezoo Jahani, Dhafar Hamed Abd

“…To select the optimal model, we apply fuzzy decision by opinion score method (FDOSM). The FDOSM process involves assessments from three domain experts to ensure a robust and well-rounded evaluation. …”
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