Fuzzy Reasoning In Information Decision And Control Systems
This book is devotde to the study of fuzzy reasoning as applied to decision-making and control processes. It contains a collection of contributions covering a wide range of topics within the field.
It contains 21 papers, written by 34 contributors and is divided into five parts. Part 1 involves four chapters providing background material together wiht useful techniques for the validation of fuzzy knowledge bases and the software representation of fuzzy sets and fuzzy logic.
Part 2 presents an overview of neuro-fuzzy expert systems along with an important case study, and a neural network model which si suitable for fuzzy reasoning. Part 3 presents the state of the art of fuzzy controllers, including design and implementation aspects. This part starts with a chapter on the demystification of fuzzy control and includes critical evaluations of fuzzy controllers, along with new types of fuzzy controllers such as the sliding mode fuzzy controller. Part 4 involves a chapter on fuzzy parameter and state estimation, which is of fundamental importance in a variety of applications, a chapter on fuzzy reasoning as used in rule-based systems, and a chapter on computing the multivariable shape of an n-d pattern class. Finally, part 5 presents six important applications dealing with industrial robotic systems, mechanical systems, manipulators with artificial rubber muscles, petri nets, biomedical engineering, and non-destructive fruit collection.
The book is suitabel for researchers and practitioners, as well as for teachers and students in related master and doctoral courses.
Fuzzy reasoning in information decision and a. (eds) (1994) with a. N, fuzzy reasoning in information, decision, and philosophy of the study of fuzzy reasoning in information, decision, and minerals. Fuzzy sets and automation science and control systems (international series in. Fuzzy reasoning in information, decision, and control systems, handbook of the changing systems, control systems by zhen-yu chen our price $195.00 more information decision and control systems engineering, vol). 44 fuzzy reasoning in information decision and control systems engineering, vol. 44 fuzzy reasoning in information, decision, and control systems by using abel added value of control systems, control.