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Titlebook: Uncertainty and Imprecision in Decision Making and Decision Support: New Advances, Challenges, and P; Selected papers from Krassimir T. Ata

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asing the precision and the percentage of correctly predicted text. To demonstrate the model’s capabilities, it will be applied to a Twitter account associated with one of the largest supermarket chains in the UK, focusing on the detection of sentiments, emotions, and the level of urgency in the content.
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Krzysztof Piasecki,Anna Łyczkowska-Hanćkowiak decision tree model’s accuracy, precision, and F1-score were 100.00, 0.98, and 0.98, respectively. In conclusion, this study emphasizes how data-driven approaches and machine learning may revolutionize agriculture, focusing on farmer’s needs and challenges.
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Stoyan Poryazov,Velin Andonov,Emiliya Saranova trans-compilation. Our approach translates iOS Swift UI to Android Jetpack Compose, significantly increasing code translation percentages compared to previous methods. Our experiments showed an increase in translated codebase percentage from 28.8% to 90.6% evaluated using the BLEU method across five applications.
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(MILP) to establish the operation strategy corresponding to the obtained capacity, and then feeds back to the upper layer. Ultimately, the optimal capacity configuration solution for the energy storage system is achieved, combining the TOPSIS method to facilitate decision-making and reduce complexity.
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Conference proceedings 2022from a substantial point of view—combines systems modeling, systems analysis, broadly perceived operational research, notably optimization, decision making, and decision support, with various aspects of uncertain and imprecise information and theirrelated tools and techniques. .
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2367-3370 research in uncertainty and imprecision in decision making .This book is composed of selected papers from the Sixteenth National Conference on Operational and Systems Research, BOS-2020, held on December 14-15, 2020, one of premiere conferences in the field of operational and systems research. The
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Bootstrap Methods for Fuzzy Data random fuzzy samples. Moreover, we suggest a new flexible bootstrap approach designed for asymmetrical random fuzzy numbers. Finally, we compare the existing bootstrap approaches to provide some hints for practitioners.
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