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Logic and its components (propositional, first-order, non-classical) play a key role in Computer Science and Artificial Intelligence. While a large amount of information exists scattered throughout various media (books, journal articles, webpages, etc.), the diffuse nature of these sources is problematic and logic as a topic benefits from a...

This book presents the state-of-the-art in theory and practice regarding similarity and distance measures for intuitionistic fuzzy sets. Quantifying similarity and distances is crucial for many applications, e.g. data mining, machine learning, decision making, and control. The work provides readers with a comprehensive set of theoretical...

For drugs with a narrow therapeutic index, therapeutic drug monitoring methods are essential for patient management. Although immunoassays are commercially available for many drugs and most laboratories use these assays for routine therapeutic monitoring, they have many limitations which hinder their efficacy. Providing practical guidelines for...