Analysis and Decision Making in Uncertain Systems

Researchers and students will find this self-contained monograph a unique exploration of original concepts. Designers of information, control and management systems will also buy this book.

New concepts are presented and developed by the author in a systematic, unified framework, with a unique special emphasis on uncertain control systems Includes supplementary material: sn.pub/extras

Autorentext
Professor Zdzislaw Bubnicki died on 12th March 2006.

Klappentext

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.

Inhalt
1 Introduction to Uncertain Systems.- 2 Relational Systems.- 3 Application of Random Variables.- 4 Uncertain Logics and Variables.- 5 Application of Uncertain Variables.- 6 Fuzzy Variables, Analogies and Soft Variables.- 7 Systems with Logical Knowledge Representation.- 8 Dynamical Systems.- 9 Parametric Optimization of Decision Systems.- 10 Stability of Uncertain Dynamical Systems.- 11 Learning Systems.- 12 Complex Problems and Systems.- 13 Complex of Operations.- 14 Pattern Recognition.- Conclusions.- References.