Multistage fuzzy control : a model-based approach to fuzzy control and decision making / Janusz Kacprzyk.

By:

Kacprzyk, Janusz

Material type: Text

TextPublication details: Chichester ; New York : Wiley, c1997.Description: 327 p. : illISBN:

047196347X

Subject(s):

Summary: Fuzzy techniques are used to cope with impression in the control process. This authoritative book explains the essential principles of fuzzy logic and describes both the theoretical and practical advantages of the new model-based, prescriptive approach. Professor Kacprzyk offers a comprehensive and in depth examination of the issues underlying multistage control and decision analysis, addressing in particular fuzzy dynamic systems, fuzzy events, fuzzy probabilities and fuzzy quantifiers. The text also comprises an introduction to the basic concepts of fuzzy sets, fuzzy logic and fuzzy systems, complemented by real-world examples of the use of the model-based prescriptive approach to improve the efficiency of fuzzy control systems. Highly experienced in fuzzy control research, the author identifies new trends in the development of fuzzy sets and their direct application to decision-making processes. Fuzzy control engineers, researchers and postgraduate students will find this an ideal reference, offering a wealth of ideas for enhancing the performance of fuzzy control systems and equipping them with the tools to resolve genuine problems.

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Holdings ( 1 )
Title notes ( 3 )

Holdings
Item type	Current library	Home library	Collection	Shelving location	Call number	Status	Date due	Barcode	Item holds
Green Spot	FIRST CITY UNIVERSITY COLLEGE	FIRST CITY UNIVERSITY COLLEGE	Green Spot	FCUC Library	629.8 KAC (Browse shelf(Opens below))	Available		00009256

Total holds: 0

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Includes bibliographical references and index.

Fuzzy techniques are used to cope with impression in the control process. This authoritative book explains the essential principles of fuzzy logic and describes both the theoretical and practical advantages of the new model-based, prescriptive approach. Professor Kacprzyk offers a comprehensive and in depth examination of the issues underlying multistage control and decision analysis, addressing in particular fuzzy dynamic systems, fuzzy events, fuzzy probabilities and fuzzy quantifiers. The text also comprises an introduction to the basic concepts of fuzzy sets, fuzzy logic and fuzzy systems, complemented by real-world examples of the use of the model-based prescriptive approach to improve the efficiency of fuzzy control systems. Highly experienced in fuzzy control research, the author identifies new trends in the development of fuzzy sets and their direct application to decision-making processes. Fuzzy control engineers, researchers and postgraduate students will find this an ideal reference, offering a wealth of ideas for enhancing the performance of fuzzy control systems and equipping them with the tools to resolve genuine problems.

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