Uncertainty theory: a branch of mathematics for modeling human uncertainty

Uncertainty theory is a branch of mathematics based on normality, monotonicity, self-duality, countable subadditivity, and product measure axioms. Uncertainty is any concept that satisfies the axioms of uncertainty theory. Thus uncertainty is neither randomness nor fuzziness. It is also known from some surveysthat a lot of phenomena do behave like uncertainty. How do we model uncertainty? How do we use uncertainty theory? In order to answer these questions, thisbook provides a self-contained, comprehensive and up-to-date presentation of uncertainty theory, including uncertain programming, uncertain risk analysis, uncertain reliability analysis, uncertain process, uncertain calculus, uncertain differential equation, uncertain logic, uncertain entailment, and uncertaininference. Mathematicians, researchers, engineers, designers, and students inthe field of mathematics, information science, operations research, system science, industrial engineering, computer science, artificial intelligence, finance, control, and management science will find this work a stimulating and useful reference. Recent research in Agents and multi-agent systems in distributed systems Presents new applications of multi-agent systems to digital economy and e-commerce Written by a leading expert in the field INDICE: Uncertainty Theory.- Uncertain Programming.- Uncertain Risk Analysis.- Uncertain Reliability Analysis.- Uncertain Process .- Uncertain Calculus.- Uncertain Differential Equation.- Uncertain Logic.- Uncertain Entailment.- Uncertain Set Theory.- Uncertain Inference.

• ISBN: 978-3-642-13958-1
• Editorial: Springer
• Encuadernacion: Cartoné
• Páginas: 350
• Fecha Publicación: 01/08/2010
• Nº Volúmenes: 1
• Idioma: Inglés