Journal ArticleDOI
Synthesis of fuzzy models for industrial processes-some recent results
TLDR
A definition of a fuzzy model is introduced, the assessment of its quality is discussed, and a systematic procedure for deriving a model from input-output data is outlined.Abstract:
Many industrial processes are examples of Zadeh's “principle of incompatibility” which states that as a system becomes more complex it becomes increasingly difficult to make mathematical statements about it which are both meaningful and precise. So that if a model of such a process is required then a fuzzy model may be the “best” that can be achieved. This paper considers the problems of building such models. It introduces a definition of a fuzzy model, discusses the assessment of its quality and outlines a systematic procedure for deriving a model from input-output data.read more
Citations
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Journal ArticleDOI
Fuzzy logic in control systems: fuzzy logic controller. II
TL;DR: The basic aspects of the FLC (fuzzy logic controller) decision-making logic are examined and several issues, including the definitions of a fuzzy implication, compositional operators, the interpretations of the sentence connectives 'and' and 'also', and fuzzy inference mechanisms, are investigated.
Book
An Introduction to Fuzzy Control
TL;DR: Fuzzy controllers are a class of knowledge based controllers using artificial intelligence techniques with origins in fuzzy logic that can be found either as stand-alone control elements or as int ...
Journal ArticleDOI
An introductory survey of fuzzy control
TL;DR: This paper picks up key points in applying fuzzy control and shows very recent results in industrial applications and points out some interesting and important problems to be solved.
Journal ArticleDOI
Generation of Fuzzy Rules by Mountain Clustering
TL;DR: This work develops, based upon the mountain clustering method, a procedure for learning fuzzy systems models from data, and uses a back propagation algorithm to tune the model.
Journal ArticleDOI
ON THE MEASURE OF FUZZINESS AND NEGATION Part I: Membership in the Unit Interval
TL;DR: It is suggested that fuzziness can be related to the lack of distinction between a set and its negation and the concept of compatibility is used to develop linguistic measures of fuzziness.
References
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Book
Time series analysis, forecasting and control
TL;DR: In this article, a complete revision of a classic, seminal, and authoritative book that has been the model for most books on the topic written since 1970 is presented, focusing on practical techniques throughout, rather than a rigorous mathematical treatment of the subject.
Journal ArticleDOI
Time Series Analysis Forecasting and Control
TL;DR: This revision of a classic, seminal, and authoritative book explores the building of stochastic models for time series and their use in important areas of application forecasting, model specification, estimation, and checking, transfer function modeling of dynamic relationships, modeling the effects of intervention events, and process control.
Journal ArticleDOI
Outline of a New Approach to the Analysis of Complex Systems and Decision Processes
TL;DR: By relying on the use of linguistic variables and fuzzy algorithms, the approach provides an approximate and yet effective means of describing the behavior of systems which are too complex or too ill-defined to admit of precise mathematical analysis.
Journal ArticleDOI
Advances in the linguistic synthesis of fuzzy controllers
TL;DR: It is proposed that adaptive techniques in linguistic controllers currently being studied may provide a useful possible approach to the use of fuzzy logic in the synthesis of controllers for dynamic plants.
Journal ArticleDOI
Paper: A control engineering review of fuzzy systems
TL;DR: Fuzzy set theory is a relatively new concept which allows this qualitativeness to be expressed rigorously and its usefulness for control is assessed and a surprising number of practical successes are revealed.