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The traditional fuzzy logic system (FLS) can only model and control the process in two-dimensional nature.Many of real-world systems are of multidimensional features,such as,thermal and fluid processes with spatiotemporal dynamics,biological systems,or decision-making processes that contain stochastic and imprecise uncertainties.These types of systems are difficult for the traditional FLS to model and control because they require a third dimension for spatial or probabilistic information.The type-2 fuzzy set provides the possibility to develop a three-dimensional fuzzy logic system for modeling and controlling these processes in three-dimensional nature.
The traditional fuzzy logic system (FLS) can only model and control the process in two-dimensional nature. Major of real-world systems are of multidimensional features, such as, thermal and fluid processes with spatiotemporal dynamics, biological systems, or decision-making processes that contain stochastic and imprecise uncertainties.These types of systems are difficult for the traditional FLS to model and control because they require a third dimension for spatial or probabilistic information. The type-2 fuzzy set provides the possibility to develop a three-dimensional fuzzy logic system for modeling and controlling these processes in three-dimensional nature.