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In Mamdani systems, redundancy of fuzzy rule bases that derives from extensive sharing of a limited number of output membership functions among the rules, is often an overlooked property. In current study, means for detection and removal of such kind redundancy have been developed. Our experiments with case studies collected from literature and Mackey-Glass time series prediction models show error-free rule base reduction by 30-60% that partially cures the curse of dimensionality problem characteristic to fuzzy systems. [ABSTRACT FROM AUTHOR]

In this chapter, a fuzzy logic enhanced navigation and collision avoidance system for truck or truck and trailer systems has been described. It assumes that vehicle coordinates and its orientation in respect to the x-axis can be determined and is based on the fuzzy trajectory mapping unit that provides smooth car trajectory management independent of the object's initial position or the position of the loading dock. It is suggested that for performing more demanding tasks than demonstrated here, additional blocks adding more "intelligence" are required. The latter is made possible by the modular structure of the control system that also enables us to tune subsystems of the control system responsible for different tasks individually without jeopardizing overall performance. [ABSTRACT FROM AUTHOR]