Analysis and Decision Making in Uncertain Systems

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.