This book is devoted to the study of fuzzy reasoning as applied  to decision making and control processes. It contains a collection of  important contributions covering a wide well-selected range of topics  within the field.   The book contains twenty-one papers, written by thirty-four  distinguished contributors and is divided into five parts.   Part 1 involves four chapters providing background material  together with 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 is  suitable for fuzzy reasoning.  Part 3 presents the state of 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 nondestructive fruit collection.   The book is suitable for the researcher and practitioner, as well as  for the teacher and student in related Master and Doctoral courses.

Fuzzy Reasoning in Information, Decision and Control Systems (Intelligent Systems, Control and Automation: Science and Engineering) PDF

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