Data-driven Decision Making and Soft Computing by D. Nagarajan(.ePUB)+
File Size: 15.3 MB
Data-driven Decision Making and Soft Computing: Applications and Advances by D. Nagarajan, Dragan Pamucar, Zarife Zararsız
Requirements: .ePUB, .PDF reader, 15.3 MB | True PDF, True EPUB
Overview: This book reflects the comprehensive exploration of the intersection between fuzzy decision-making and soft computing. It delves into the theoretical foundations of fuzzy decision-making and soft computing, exploring the underlying principles, algorithms, and mathematical frameworks. The text showcases the latest methodological advances in combining fuzzy decision-making with various soft computing techniques, such as neural networks, and evolutionary computation. This book is structured to provide an integrated blend of theoretical foundations, algorithmic developments, and applications to real-world problems. Initial chapters cover the concepts of decision-making with data, with an emphasis on the utilization of machine learning, fuzzy logic, neural networks, and evolutionary algorithms to handle imprecision and uncertainty. Subsequent chapters cover advanced applications including healthcare, finance, supply chain management, image processing, and industrial optimizations. One of the salient features of this book is its focus on multi-criteria decision-making models, fuzzy set theory, and artificial intelligence-based methods. These techniques enable researchers, engineers, and decision-makers to draw informed inferences from vast datasets with greater efficiency and accuracy. Additionally, this book presents case studies and real-world applications to bridge the theory–practice gap.
Genre: Non-Fiction > Tech & Devices
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