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.