Time-divison-multiplexed input signals are demultiplexed and fuzzified using fuzzy sets.

A method of operating a fuzzy controller by automatically setting an optimum membership function and a device for adjusting the fuzzy controller.

But with fuzzy sets, the existence of contradictory sets can't cause things to malfunction.

These ordinary terms represent fuzzy sets in a particular problem.

Kaufmann, A: Introduction to the Theory of Fuzzy Subsets.

These fuzzy sets establish correspondence between the plurality of wellbore parameters and the indictor of potential bit performance.

Fuzzy sets have a center and periphery, but no clear boundary.

These fuzzy sets establish correspondence between the plurality of wellbore parameters and the indicator of potential bit abrasion.

A neural network interprets the data created by the fuzzy set operators and classifies objects within the roadway scene (6).

We will first address the theory behind the Sequence Module and then we will

Fortunately, “fuzzy sets” offer great assistance in modeling imprecise but deterministic knowledge.

A. Kaufmann, Introduction to the Theory of Fuzzy Subsets, vol.

Fuzzy logic is based on the theory of fuzzy sets, formalised by Lotfi Zadeh in 1965.

The system identifying unit (12) then supplies to the fuzzy inference unit (11) an output for correcting the membership function.

Fuzzy sets have been introduced by Zadeh (1965) as an extension of the classical characteristic function notation of set.