Analysis and Decision Making in Uncertain Systems

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A unified and systematic description of analysis and decision problems within a wide class of uncertain systems, described by traditional mathematical methods and by relational knowledge representations. With special emphasis on uncertain control systems, Professor Bubnicki gives you a unique approach to formal models and design (including stabilization) of uncertain systems, based on uncertain variables and related descriptions. • Introduction and development of original concepts of uncertain variables and a learning process consisting of knowledge validation and updating. • Examples concerning the control of manufacturing systems, assembly processes and task distributions in computer systems indicate the possibilities of practical applications and approaches to decision making in uncertain systems. • Includes special problems such as recognition and control of operations under uncertainty. • Self-contained. If you are interested in problems of uncertain control and decision support systems, this will be a valuable addition to your bookshelf. Written for researchers and students in the field of control and information science, this book will also benefit designers of information and control systems.