UTILIZATION OF FUZZY TECHNIQUES IN INTELLIGENT SENSORS

Today, several advanced transducer device and emerging signal processi ng technologies are combined to establish the important area of so cal led 'intelligent sensors'. They offer new or improved operational and processing capabilities. However, as modern technical systems get more and more complex with increasing requirements on system reliability a nd availability, appropriate systemarchitectures have to be designed, which will have strong impacts on kind and quality of signal processin g tasks to be performed by intelligent sensors. Regarding this back-gr ound motivation, this paper will provide to practitions some hints and explanations for processing uncertain information by utilizing basic fuzzy set theory. The proposed applications include uncertainty propag ation, self-calibration, human-machine-interfaces, and semantic classi fication in fuzzy combinatorical networks. The presentation emphasis o n the relation between practical issues and appropriate modeling and p rocessing of information with fuzzy techniques. The industrial applica tion to an intelligent sensor for detection of oil pollution in water is described.