Description
Book SynopsisMultistage Fuzzy Control a model-based approach to fuzzy control and decision making Fuzzy techniques are used to cope with imprecision 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. Fu
Table of ContentsBasic Elements of Fuzzy Sets and Fuzzy Systems.
A General Setting for Multistage Control Under Fuzziness.
Control Processes with a Fixed and Specified TerminationTime.
Control Processes with an Implicitly Specified TerminationTime.
Control Processes with a Fuzzy Termination Time.
Control Processes with an Infinite Termination Time.
Examples of Applications.
Concluding Remarks.
Bibliography.
Index.
