A fuzzy clustering algorithm based on interval valued fuzzy sets

Abstract

Due to the continuity of the thermal power plant operating data and information is incomplete; the data of the characterization of the behavioral characteristics of things is often not the exact number, but the number of interval-valued fuzzy sets of data. Aiming at the characteristics of the historical data of thermal power plants, this paper puts forward a fuzzy clustering analysis method based on interval values. Then according to this method, to carry on a fuzzy clustering analysis to the stable state and non-stable-state data of the thermal power plant operating data, Allowing for further analysis of the real operating status of thermal power units will be and to improve unit efficiency, increase power plant economic efficiency and energy conservation, to provide certain information support.