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This volume presents state-of-the-art papers on new topics related to neutrosophic theories, such as neutrosophic algebraic structures, neutrosophic triplet algebraic structures, neutrosophic extended triplet algebraic structures, neutrosophic algebraic hyperstructures, neutrosophic triplet algebraic hyperstructures, neutrosophic n-ary algebraic structures, neutrosophic n-ary algebraic hyperstructures, refined neutrosophic algebraic structures, refined neutrosophic algebraic hyperstructures, quadruple neutrosophic algebraic structures, refined quadruple neutrosophic algebraic structures, neutrosophic image processing, neutrosophic image classification, neutrosophic computer vision, neutrosophic machine learning, neutrosophic artificial intelligence, neutrosophic data analytics, neutrosophic deep learning, and neutrosophic symmetry, as well as their applications in the real world.
After developing fuzzy set theory, many contributors focused their research on the extension of fuzzy sets and their computational methodologies, strengthening modern science and technology. In some real-life phenomena, the conventional methods and traditional fuzzy sets cannot be explained, whereas the extension of fuzzy sets and effective new computing methods can explain it adequately. This edited book presents a new view of fuzzy set-measurement methods entitled "Fuzzy Optimization, Decision Making and Operations Research: Theory and Applications", which deals with different perspectives and areas of research. All chapters are divided into three parts: fuzzy optimization, fuzzy decision-...
When deadly illness spreads through a population at a rapid pace, time may be of the essence in order to save lives. Using mathematics as a language to interpret assumptions concerning the biological and population mechanics, one can make predictions by analyzing actual epidemiological data using mathematical tests and results. Mathematical models can help us understand the right disease status and predict the effects of the disease on populations, which can help limit the spread and devastation of the illness. Mathematical Models of Infectious Diseases and Social Issues is a collection of innovative research that examines the dynamics of diseases and their effect on populations. Featuring coverage of a broad range of topics including deterministic models, environmental pollution, and social issues, this book is ideally designed for diagnosticians, clinicians, healthcare providers, pharmacists, government health officials, policymakers, academicians, researchers, and students.
This, the first volume from the Muslims in the American Public Square research project, gives theoretical and demographic portraits of Muslims in the American civil landscape.
This book offers a novel, incisive and wide-ranging account of Libya's '17 February Revolution' by tracing how critical towns, communities and political groups helped to shape its course. Each community, whether geographical (e.g. Misrata, Zintan), tribal/communal (e.g. Beni Walid) or political (e.g. the Muslim Brotherhood) took its own path into the uprisings and subsequent conflict of 2011, according to their own histories and relationship to Muammar Qadhafi's regime. The story of each group is told by the authors, based on reportage and expert analysis, from the outbreak of protests in Benghazi in February 2011 through to the transitional period following the end of fighting in October 2011. They describe the emergence of Libya's new politics through the unique stories of those who made it happen, or those who fought against it. The Libyan Revolution and its Aftermath brings together leading journalists, academics, and specialists, each with extensive field experience amidst the constituencies they depict, drawing on interviews with fighters, politicians and civil society leaders who have contributed their own account of events to this volume.
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Includes entries for maps and atlases.