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Monitoring and Control of Information-Poor Systems : An Approach Based on Fuzzy Relational Models by Arthur L. Dexter is a nonfiction available to read on EtoBox.

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<p>The monitoring and control of a system whose behaviour is highly uncertain is an important and challenging practical problem. Methods of solution based on fuzzy techniques have generated considerable interest, but very little of the existing literature considers explicit ways of taking uncertainties into account. This book describes an approach to the monitoring and control of information-poor systems that is based on fuzzy relational models which generate fuzzy outputs.</p> <p>The first part of <i>Monitoring and Control of Information-Poor Systems</i> aims to clarify why design decisions must take account of the uncertainty associated with optimal choices, and to explain how a fuzzy relational model can be used to generate a fuzzy output, which reflects the uncertainties associated with its predictions. Part two gives a brief introduction to fuzzy decision-making and shows how it can be used to design a predictive control scheme that is suitable for controlling information-poor systems using inaccurate measurements. Part three describes different ways in which fuzzy relational models can be generated online and explains the practical issues associated with their identification

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Author

Arthur L. Dexter

Publisher

John Wiley & Sons, Incorporated

Published

2012

Language

EN

ISBN

9781119945864

Category

nonfiction

Subjects

Computer Science, Engineering, Stem