Using adaptive neuro-fuzzy inference system for hydrological time series prediction
Applied Soft Computing
Fuzzy models for precision measurements
Mathematics and Computers in Simulation
Identification of the linear parts of nonlinear systems for fuzzy modeling
Applied Soft Computing
Type-2 fuzzy sliding mode control without reaching phase for nonlinear system
Engineering Applications of Artificial Intelligence
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From the Publisher:There are many situations in science and engineering where complex output data from a given system is used to formulate a model of how that system operates, or to simulate its response to different inputs. Applications include control, decision theory, and the emerging fields of bioinformatics. A key advance in this general area is the use of fuzzy mathematics in the development of models.