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Titlebook: Intelligent and Fuzzy Systems; Intelligent Industri Cengiz Kahraman,Sezi Cevik Onar,Irem Ucal Sari Conference proceedings 2024 The Editor(s

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A Text Mining Procedure for Recognizing the Awareness of Industry 4.0 and Digitalization Perceptione through technological destruction. In the era of Industry 4.0 and Society 5.0, focus is on machine learning, artificial intelligence and deep learning algorithms by limitless attempts. Nevertheless, in the sense of urgency, industry practitioners do not consider these approaches as much. With that
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,Share of Local Assortments in Revenue for a Large Scale National Food Retailer : Assessment of Longponse, these chains are adopting more curated assortment management strategies to maximize operational efficiency. Particularly, the management of local product assortments has emerged as an effective strategy to attract customers interested in products from their neighborhood, ultimately increasing
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Benchmarking Retrieval Augmented Generation in Quantitative Finance, utilizing an AI multi-modality application for integrating RAG with advanced language models and financial data APIs, our study evaluates these systems’ capability in processing, interpreting, and analyzing vast financial datasets. The focus of this study is to assess the accuracy, efficiency, scal
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Navigating Economic Uncertainty: A Fuzzy Logic Approach,avigate the intricate terrain of economic fluctuations. Embracing the power of fuzzy logic, a sophisticated mathematical framework adept at handling imprecise and uncertain data, the study proposes a paradigm shift in decision-making processes amid economic uncertainty. By incorporating fuzzy logic
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Detecting Anomalies in Data Using Z-numbers, detecting anomalies in time series. However, there are some problems with detecting anomalies in the data, and understanding them is important for developing more effective approaches.: - The definition of an anomaly is mostly subjective and depends on the context. - The lack of clear definitions o
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A Bibliometric Analysis on Fuzzy Approaches in Financial Management, In the literature, various fuzzy approaches have been developed and used for managing financial problems. Yet, none of these methos have been proven to be dominant. The main objective of this study is to show the current fuzzy approach usage in financial management and highlight the impactful count
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