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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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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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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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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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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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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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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Some complex probabilistic hesitant fuzzy aggregation operators and their applications to multi-attribute decision making by Yanpo Yang, Baoquan Ning, Fengjuan Tian, Guihui Lu

“…Abstract As a generalization of complex fuzzy set (CFS), complex hesitation fuzzy set (CHFS) is a powerful tool to express two-dimensional fuzzy information, but it ignores the randomness that exists widely in real life. Considering the randomness and ambiguity often simultaneously occur in real-world problems, we come up with an innovative fuzzy set called complex probabilistic hesitant fuzzy set (CPHFS) in this article, which is a joint extension of CFS and probabilistic hesitant fuzzy set (PHFS). …”
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Economical heuristics for fully interval integer multi-objective fuzzy and non-fuzzy transportation problems by Baranwal Tarishi, Akilbasha A.

“…The single-objective fuzzy or non-fuzzy transportation problem (TP) is not capable of dealing with real-life decision-making problems due to our current competitive market state. …”
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Decentralized and autonomous behavior decision-making for UAV cluster by HU Weijun, ZHANG Weijie, YIN Wei, XIONG Jingyi

“…It is difficult for conventional methods like the diagram theory in a complex environment to carry out modeling and calculation so as to make large-scale cluster behavior decisions. Hence, this paper studies small fixed wings and establishes the decentralized behavior decision-making model for a UAV cluster that has communication limitations and scale ceiling effects. …”
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Enhancing energy resilience in enterprises: a multi-criteria approach by Pholoso Lebepe, Tebello N. D. Mathaba

“…Existing multi-criteria decision-making (MCDM) methods, such as the analytic hierarchy process (AHP), best–worst method (BWM), and unaugmented TOPSIS, often lack advanced risk prioritization and objective criteria weighting, limiting their effectiveness in addressing complex, multidimensional energy challenges. …”
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Optimal location selection for digital television signal booster towers in poorly covered areas: application of the EDIS multi-criteria decision-making method by Mehdi Soltanifar

“…The method considers various cost and benefit criteria, including annual maintenance cost, tower price, signal sensitivity and boosting power, unmet quality standards, operator complexity level, and interference resistance, to determine the most suitable locations for tower placement.Findings: The application of the EDIS method to a real-world case study demonstrates significant improvements in decision-making accuracy and efficiency over existing methods, offering enhanced support for optimal decision-making in the placement of digital television signal booster towers.Originality/Value: The proposed EDIS method presents a novel multi-criteria decision-making tool that combines innovative features with advanced optimization capabilities. …”
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Is human-like decision making explainable? Towards an explainable artificial intelligence for autonomous vehicles by Jiming Xie, Yan Zhang, Yaqin Qin, Bijun Wang, Shuai Dong, Ke Li, Yulan Xia

“…An empirical investigation using real driving trajectory data from Kunming, China, confirms the ability of our approach to predict potential driving decisions with high accuracy while providing the rationale implicit AV decisions. …”
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Improvements of Decision Support Systems for Public Administrations via a Mechanism of Co-creation of Value by Tindara Abbate, Clara Bassano, Giuseppe D’Aniello, Sergio Miranda, Mirko Perano, Paolo Piciocchi, Luigi Rarità

“…This paper focuses on a possible improvement of knowledge-based decision support systems for human resource management within Public Administrations, using a co-creation of value’s mechanism, according to the Service-Dominant Logic (SDL) paradigm. …”
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Hybrid Models of Atmospheric Block Columns of Primary Oil Refining Unit Under Conditions of Initial Information Deficiency by Batyr Orazbayev, Zhadra Kuzhuhanova, Kulman Orazbayeva, Gulzhan Uskenbayeva, Zhanat Abdugulova, Ainur Zhumadillayeva

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