Current Quantitative Decision Making Methods: Data - Driven Theory Modeling and Real World Applica
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In today's world, decision-making processes have evolved into a more dynamic and real-time structure with big data and complex systems.Devamını oku
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In today's world, decision-making processes have evolved into a more dynamic and real-time structure with big data and complex systems. Classic rule-based and inflexible traditional decision-making approaches are inadequate in the face of rapidly changing environmental conditions and increasing data processing speed. For this reason, data analytics and rapidly advancing artificial intelligence-supported numerical decision-making methods aim to produce more accurate results. This book aims to further clarify the issue by establishing a bridge between current theory, modeling and applications by focusing on current numerical decision-making methods. While revealing how decision-making processes can be improved with a multi-dimensional, data-supported and analytical-based approach, it also offers the reader both an academic and practical perspective by focusing on real-world problems.
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