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Recent Theories and Applications for Multi-Criteria Decision-Making
In an increasingly complex world, decision-makers face the challenge of optimizing multiple conflicting objectives across various scenarios. Multi-Criteria Decision-Making (MCDM) techniques have emerged as essential tools for addressing these challenges and offer methods to evaluate alternatives and minimize subjectivity. As the landscape of MCDM evolves with new approaches such as fuzzy set theory, rough set theory, and neutrosophic set theory, decision-making in situations involving varied and complex data becomes more reliable and consistent. Recent Theories and Applications for Multi-Criteria Decision-Making explores the latest trends and innovations in this field. The book includes thought-provoking input from renowned researchers who cover case studies, real-world applications, challenges, and cutting-edge methodologies. It highlights the integration of advanced technologies such as AI, big data, and IoT with MCDM, while offering practical insights into strategic decision-making in today's digital age. This volume serves as a valuable resource for scholars, practitioners, and researchers keen to improve their decision-making capacity.
Sustainable Development in Practice
This book provides a rigorous and practical analysis of sustainable development prospects today by applying the innovative sustainomics framework. Developed by the eminent environmental scientist Mohan Munasinghe, sustainomics explores the practical steps in making the transition from the risky business-as-usual scenario to a safe and sustainable future. Its main message is optimistic - although the problems are serious, an effective response can be mounted to make development more sustainable if initiated immediately. The book explains the key principles underlying sustainomics cogently, concisely and with minimum technical jargon. It illustrates the methodology with empirical case studies that are practical and policy-relevant over a wide range of time and geographic scales, countries, sectors, ecosystems and circumstances. The extensive bibliography is useful to researchers of specific issues within sustainable development. This book appeals to a wide audience, including students, researchers from many disciplines, policy analysts, public and private-sector decision makers, and development practitioners.
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Growing Greener Cities in Latin America and the Caribbean
This report looks at progress made in “growing greener cities” in Latin America and the Caribbean – cities in which urban and peri-urban agriculture is recognized by public policy, included in urban development strategies and land-use planning, supported by agricultural research and extension, and linked to sources of technological innovation, investment and credit, and to urban markets and consumers.
Handbook on the Economic Complexity of Technological Change
This comprehensive and innovative Handbook applies the tools of the economics of complexity to analyse the causes and effects of technological and structural change. It grafts the intuitions of the economics of complexity into the tradition of analysis based upon the Schumpeterian and Marshallian legacies. The Handbook elaborates the notion of innovation as an emerging property of the organized complexity of an economic system, and provides the basic tools to understand the recursive dynamics between the emergence of innovation and the unfolding of organized complexity. In so doing, it highlights the role of organizational thinking in explaining the introduction of innovations and the dynamics of structural change. With a new methodological approach to the economics of technological change, this wide-ranging volume will become the standard reference for postgraduates, academics and practitioners in the fields of evolutionary economics, complexity economics and the economics of innovation.
Pathological Brain Detection
This book provides detailed practical guidelines on how to develop an efficient pathological brain detection system, reflecting the latest advances in the computer-aided diagnosis of structural magnetic resonance brain images. Matlab codes are provided for most of the functions described. In addition, the book equips readers to easily develop the pathological brain detection system further on their own and apply the technologies to other research fields, such as Alzheimer’s detection, multiple sclerosis detection, etc.
