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A rationale for fuzzy control

Lotfi A. Zadeh
- pp 123-126
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The article was published on 1996-08-01 and is currently open access. It has received 237 citations till now. The article focuses on the topics: Fuzzy set operations & Fuzzy classification.

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Journal ArticleDOI

Fuzzy logic in control systems: fuzzy logic controller. II

C.-C. Lee
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

Dimiter Driankov, +2 more
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

Is there a need for fuzzy logic

Lotfi A. Zadeh
- 01 Jul 2008 - 
TL;DR: In this paper, fuzzy logic is viewed in a nonstandard perspective and the cornerstones of fuzzy logic-and its principal distinguishing features-are: graduation, granulation, precisiation and the concept of a generalized constraint.
Journal ArticleDOI

A fuzzy model to predict the uniaxial compressive strength and the modulus of elasticity of a problematic rock

Candan Gokceoglu, +1 more
- 01 Feb 2004 - 
TL;DR: Some predictive models using regression analysis and fuzzy inference system have been developed for the greywackes cropping out in the city of Ankara and its close vicinity and it is revealed that the prediction performances of the fuzzy model are higher than those of multiple regression equations.
Journal ArticleDOI

On the semantics of fuzzy logic

Enrique H. Ruspini
- 02 Jan 1991 - 
TL;DR: The relations between the similarity-based interpretation of the role of conditional possibility distributions and the approximate inferential procedures of Baldwin are discussed and a straightforward extension of the theory to the case where the similarity scale is symbolic rather than numeric is described.