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  1. In a fuzzy control system for a self-driving car, the linguistic terms for speed are defined as
    “slow,” “moderate,” and “fast.” The car encounters heavy rain, requiring an adjustment to
    how these speeds are interpreted. Propose a linguistic hedge that would alter these terms for
    safer driving conditions, and explain the reasoning behind your choice. ( 5 marks)

Ask by Clark Salinas. in Malaysia
Mar 25,2025

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To make driving safer in heavy rain, adjust the speed terms “slow,” “moderate,” and “fast” to “cautiously slow,” “cautiously moderate,” and “cautiously fast.” This hedge ensures the car drives more carefully by slowing down, reducing the risk of accidents during poor weather conditions.

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Bonus Knowledge

To ensure safer driving conditions in heavy rain, the linguistic hedge “very” could be applied to modify the existing terms for speed. For example, “very slow” would represent a cautious pace, while “very moderate” could indicate a safer, more conservative speed compared to normal conditions. This adjustment is crucial in rainy weather because reduced visibility and slippery roads increase the risk of hydroplaning and accidents, necessitating a slower and more deliberate approach.
Using this hedge not only provides a clearer directive for the vehicle’s speed in adverse conditions, but it also communicates the critical nature of the adjustment to the control system. By framing the speed terms with “very,” the self-driving car can better interpret and react to the current external environment, thus prioritizing safety above all else.

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