The saved water chamber pot system bases on the extenics-based fuzzy model

Abstract

This article involved the grey relational analysis in Grey theory and integrating Extenics into Fuzzy theory, in order to fast modeling and anti-noise function. After involving the extension theory and calculating the active membership degree with traditional methods at known datum, then investigating the double sides of the corresponding membership function can be adjusted in order to matter element transformation in extension thinking. That meaning is the membership degree extend from [0,1] to [-1,1] and create the corresponding extended correlation function extending from traditional classic membership function. During the extension region adjusting, we can retard the mutual interference in tuning membership functions dynamically. Thereby, the problem of learning cure too long can be terminated and expedite the parameters tuning process, inference speed and slow down the system error outputs. Besides, To verify the feasibility of the proposal extended fuzzy inference system, we realize the model to “the saved water chamber pot” in order to control the water of flush time and muddy degree, expecting there is a precision time in flush time and reaching the purpose of saving water.