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Uncertainty in Data Envelopment Analysis
Classical data envelopment analysis (DEA) models use crisp data to measure the inputs and outputs of a given system. In cases such as manufacturing systems, production processes, service systems, etc., the inputs and outputs may be complex and difficult to measure with classical DEA models. Crisp input and output data are fundamentally indispensable in the conventional DEA models. If these models contain complex uncertain data, then they will become more important and practical for decision makers.Uncertainty in Data Envelopment Analysis introduces methods to investigate uncertain data in DEA models, providing a deeper look into two types of uncertain DEA methods, fuzzy DEA and belief degree...
Research and Management Practices for Conservation of the Persian Leopard in Iran
The population of the Persian leopard (Panthera pardus saxicolor) has drastically declined; this Asian leopard subspecies has disappeared from some parts of its former range. Containing large areas of potential habitats with leopard presence across almost all of its provinces, Iran is known to be the last stronghold for the Persian leopard in the region. This book comprehensively covers research, management and conservation practices of the Persian leopard, including: · The first phase of the Persian Leopard National Action Plan in Iran together with an innovative leopard insurance program and a contingent valuation practice with respect to the wildlife trafficking law enforcement in Iran Â...
Handbook of Metaheuristic Algorithms
Handbook of Metaheuristic Algorithms: From Fundamental Theories to Advanced Applications provides a brief introduction to metaheuristic algorithms from the ground up, including basic ideas and advanced solutions. Although readers may be able to find source code for some metaheuristic algorithms on the Internet, the coding styles and explanations are generally quite different, and thus requiring expanded knowledge between theory and implementation. This book can also help students and researchers construct an integrated perspective of metaheuristic and unsupervised algorithms for artificial intelligence research in computer science and applied engineering domains. Metaheuristic algorithms can...
Fuzzy Decision Analysis: Multi Attribute Decision Making Approach
Authored by a leading expert in the field, this book introduces an innovative methodology that harnesses the power of fuzzy logic to enhance decision-making in multi-attribute scenarios. In a world of complexity and uncertainty, effective decision-making is paramount. Springer proudly presents a cutting-edge publication that revolutionizes decision analysis: "Fuzzy Decision Analysis: Multi-attribute Decision-Making Approach." This book stands at the forefront of decision analysis, introducing the integration of fuzzy logic into multi-attribute decision-making. It is a transformative journey into the realm of advanced decision analysis. It book not only equips you with the knowledge to comprehend the theoretical underpinnings but also empowers you to apply these insights in practical scenarios. This book serves as your indispensable companion. Its comprehensive coverage serves as a beacon, guiding you through the intricate maze of fuzzy logic and multi-attribute decision-making, ultimately empowering you to embrace innovation and master the art of making well-informed decisions in an ever-changing world.
Reachable Sets of Dynamic Systems
Reachable Sets of Dynamic Systems: Uncertainty, Sensitivity, and Complex Dynamics introduces differential inclusions, providing an overview as well as multiple examples of its interdisciplinary applications. The design of dynamic systems of any type is an important issue as is the influence of uncertainty in model parameters and model sensitivity. The possibility of calculating the reachable sets may be a powerful additional tool in such tasks. This book can help graduate students, researchers, and engineers working in the field of computer simulation and model building, in the calculation of reachable sets of dynamic models. Introduces methodologies and approaches to the modeling and simulation of dynamic systems Presents uncertainty treatment and model sensitivity are described, and interdisciplinary examples Explores applications of differential inclusions in modeling and simulation
Innovations in Computer Science and Engineering
The book is a collection of high-quality peer-reviewed research papers presented at the Fourth International Conference on Innovations in Computer Science and Engineering (ICICSE 2016) held at Guru Nanak Institutions, Hyderabad, India during 22 – 23 July 2016. The book discusses a wide variety of industrial, engineering and scientific applications of the emerging techniques. Researchers from academic and industry present their original work and exchange ideas, information, techniques and applications in the field of data science and analytics, artificial intelligence and expert systems, mobility, cloud computing, network security, and emerging technologies.
Masoud
"Growing up in the aftermath of the 1953 CIA coup in Iran exposed the young Masoud Banisadr to extremes of wealth and poverty, loyalty and betrayal. Years later in the United Kingdom, where Banisadr had gone to do postgraduate study, he decided to join the Iranian Mojahedin, an organization fighting to dislodge the regime that took power following the 1979 revolution." "Torn between two loves - his family and the cause - Masoud gave up normal life to pursue the revolution. But it wasn't long before the dream turned sour. The Mojahedin's revolutionary fervour demanded more than total sacrifice: he was pressured to divorce his beloved wife, alienate himself from his family and career, and remain separated for over a decade from his children." "Years later, following his defection from the organization, Masoud decides to tell his story."--Jacket.
Diplomatic List
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Frontiers in Ecology, Evolution and Complexity
Advances in molecular biology, remote sensing, systems biology, bioinformatics, non-linear science, the physics of complex systems and other fields have rendered a great amount of data that remain to be integrated into models and theories that are capable of accounting for the complexity of ecological systems and the evolutionary dynamics of life. It is thus necessary to provide a solid basis to discuss and reflect on these and other challenges both at the local and global scales. This volume aims to delineate an integrative and interdisciplinary view that suggests new avenues in research and teaching, critically discusses the scope of the diverse methods in the study of complex systems, and points at key open questions. Finally, this book will provide students and specialists with a collection of high quality open access essays that will contribute to integrate Ecology, Evolution and Complexity in the context of basic research and in the field of Sustainability Sciences.
