A QUALITATIVE ANALYSIS OF THE INFLUENCE OF MANAGEMENT INFORMATION SYSTEMS ON ORGANIZATIONAL DECISION-MAKING PROCESSES by Mubashshir Bin Mahbub, Mushfiq Nabil, Taskin Ahmed

“…The analysis indicates that MIS significantly elevates decision quality by delivering real-time, accurate data and advanced analytical tools, which empower decision-makers to make informed and strategic choices. …”
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Assessment of occupational injury and illness risks for the position of mineral water warehouse forklift operator by Anișoara Habuc, Claudiu Babiş, Elena Anda Botoc, George Mit, Andrei Dimitescu

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Assessment of the risks of occupational injury and illness for the position of welder by Elena Anda Botoc, Claudiu Babiş, Anișoara Habuc, George Mit, Andrei Dimitescu

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An interval valued fuzzy complex proportional assessment (IVF-COPRAS) method to solve MCDM problem with an application by Mahin Ashouri, Abdollah Hadi-Vencheh, Ali Jamshidi

“…The reliance on IVFNs offers a unique perspective on uncertainty in decision-making, enhancing decision reliability. The real-world application emphasizes the method's practical significance, providing a valuable contribution to MCDM research and offering a methodological tool for similar decision-making problems across diverse domains.…”
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AI-Powered Decision Support Systems for Sustainable Agriculture using AI-Chatbot Solution by Emmanuel Asolo, Ifechukwu Gil-Ozoudeh, Chibundom Ejimuda

“… This paper introduces an innovative method for sustainable agriculture whereby an AI-powered decision support system (DSS) is developed that makes use of an AI chatbot solution. …”
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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

“…The proposed methodology has three main phases: 1) developing models based on the ADFA, 2) defining evaluation criteria, and 3) selecting models using the Fuzzy Analytic Hierarchy Process (FAHP).Findings: The experimental results of this research demonstrate the effectiveness of this approach in developing suitable machine learning models for applications related to wearable devices, such as smart glasses.Originality/Value: This research introduces three innovations: 1) the use of ADFA for developing models for the classification of Persian handwritten characters, 2) defining a new abstraction for summarizing handwritten character images, and 3) developing a fuzzy multi-criteria decision-making approach for mapping the developed models in the ADFA to real-world applications.…”
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An autonomous vehicles’ test case extraction method: Example of vehicle-to-pedestrian scenarios by Zhengping Tan, Qian Wang, Wenhao Hu, Pingfei Li, Liangliang Shi, Hao Feng

“…However, this approach may not fully capture the criticality of the generated scenarios, as it tends to emphasize the statistical characteristics of the data rather than its real-world applicability. This paper proposes a novel method to enhance scenario adaptation by integrating quantization weights with a new clustering algorithm. …”
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Improving Quality Evaluation for Control Systems of Machining Line Product Processing With Smart Algorithmic Techniques in Intuitionistic Fuzzy Multiple-Attribute Group Decision-Ma... by Chunjiang He, Jian Jiang

“…Intuitionistic Fuzzy Sets (IFSs) were utilized as a decision-making tool to handle uncertain and imprecise data during the evaluation process. …”
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Design of Experiment as a powerful tool when applying Finite Element Method: a case study on prediction of hot rolling process parameters by Giancarlo Giuseppe Bordonaro, Riccardo Leardi, Luca Diviani, Filippo Berto

“…Eventually, the application of Pareto optimality (a Multi-Criteria Decision Making method) allows to detect an optimal combination of design factors which respect desired target requirements for the responses.…”
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Revolutionizing load harmony in edge computing networks with probabilistic cellular automata and Markov decision processes by Dinesh Sahu, Nidhi, Rajnish Chaturvedi, Shiv Prakash, Tiansheng Yang, Rajkumar Singh Rathore, Lu Wang, Sabeen Tahir, Sheikh Tahir Bakhsh

“…Key performance parameters, such as load variance, convergence time, and scalability, validate the robustness of the proposed model. Besides optimizing resource exploitation, load harmony in edge computing networks helps provide efficient work progression and minimize latency, thereby contributing to the advancement of the field with respect to real-time applications such as self-driving vehicles and the Internet of Things. …”
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Decision support systems for waste-to-energy technologies: A systematic literature review of methods and future directions for sustainable implementation in Ghana by Theophilus Frimpong Adu, Lena Dzifa Mensah, Mizpah Ama Dziedzorm Rockson, Francis Kemausuor

“…Future research directions identified by this study include the development of Ghana-specific DSS models, integration of real-time data collection methodologies, creation of user-friendly interfaces for local decision-makers, and exploration of emerging technologies such as blockchain and IoT or Machine learning (ML) for enhancing DSS in WtE management.…”
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A Machine Learning-Based Platform for Monitoring and Prediction of Hazardous Gases in Rural and Remote Areas by Edgar F. Ladeira, Bruno M. C. Silva

“…In these areas, access to security and health services is scarce, and real-time monitoring of citizens and the conditions in which they live is very difficult. …”
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A Multi-Surrogate Assisted Multi-Tasking Optimization Algorithm for High-Dimensional Expensive Problems by Hongyu Li, Lei Chen, Jian Zhang, Muxi Li

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Fusing Emotion and Art Communication: A Disc Interval-Valued Fermatean Fuzzy Decision-Making Approach by Liu Peng

“…The traditional application techniques of integrating emotional feedback with interventions are often imprecise in capturing real-time variations in emotions and translating these into effective decision-making processes. …”
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An exploration of machine learning approaches for early Autism Spectrum Disorder detection by Nawshin Haque, Tania Islam, Md Erfan

“…Furthermore, all algorithms achieved 100% accuracy on the children (age 4–11) dataset collected from real-world sources. Logistic Regression, Random Forest, Support Vector Classifier, and Decision Tree attained 100% accuracy and mIoU with the real-world dataset. …”
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A hybrid MARWIP-CODAS techniques for optimizing sourcing decisions in complex Fermatean fuzzy N soft sets by Anukokila Paraman, Nishanthini Rajendran, Radhakrishnan Bheeman

“…Furthermore, we employ the hybrid decision-making approach to an IVCFFNs environment to deal with complex uncertainty information in real-world decision-making problems. …”
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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

“…Managers and policymakers determine the attribute weights by real data and choose the suitable decision method for a certain application. …”
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A CRITIC-CODAS Approach for Ranking WirelessCommunication Technologies in Precision Agriculture: Application to Irrigation System by Khadeejah Adebisi Abdulsalam, Damilare Babatunde, John Adebisi, Olubayo Babatunde

“… This study evaluates and ranks wireless communication technologies for agricultural irrigation systems using the CRITIC-CODAS multi-criteria decision-making method. Technologies including WSN, LPWAN, LoRa, 5G, IoT, and NB-IoT are compared based on range, power consumption, data rate, coverage, latency, battery life, and device density. …”
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Machine learning based sucker rod pump fault diagnosis using motor power curve by Othman H. Ahmed, Samuel I. Tecle, Anatoliy A. Zyuzev, Vladimir P. Metelkov

“…Machine learning methods (Decision tree method, K-nearest neighbors method, Support vector machine, Naive Bayes classifier) using motor power curves. …”
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Human-centered design of a health recommender system for orthopaedic shoulder treatment by Akanksha Singh, Benjamin Schooley, John Mobley, Patrick Mobley, Sydney Lindros, John M. Brooks, Sarah B. Floyd

“…Abstract Background Rich data on diverse patients and their treatments and outcomes within Electronic Health Record (EHR) systems can be used to generate real world evidence. A health recommender system (HRS) framework can be applied to a decision support system application to generate data summaries for similar patients during the clinical encounter to assist physicians and patients in making evidence-based shared treatment decisions. …”
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