Consider the following real variables from everyday life: Income measured in $CAD. Speed measured in meters per second. A TV show measured in how much you are interested watching it. A meal measured in how much you like to eat it. A traffic light measured in what colour is on. In each case, suggest a fuzzy variable corresponding to these real variables. For which of these five variables the use of a fuzzy variable is not really necessary? Why?
Consider the following real variables from everyday life:
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Income measured in $CAD.
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Speed measured in meters per second.
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A TV show measured in how much you are interested watching it.
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A meal measured in how much you like to eat it.
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A traffic light measured in what colour is on.
In each case, suggest a fuzzy variable corresponding to these real variables. For which of these five variables the use of a fuzzy variable is not really necessary? Why?
In the realm of computer science and engineering, the utilization of fuzzy variables stands as a powerful technique for dealing with real-world variables that exhibit ambiguity, uncertainty, and subjectivity. These fuzzy variables provide a means to capture and quantify the imprecision inherent in certain aspects of our daily lives. From financial well-being to traffic flow, the introduction of fuzzy variables enables to model and manipulate variables that are not easily pinned down to precise values. In this exploration, delve into the suggestion of fuzzy variables for five real-world scenarios, examining when their use is indispensable and when it may not be warranted.
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