From the course: Programming Foundations: Fuzzy Logic
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Fuzzy inference
- [Instructor] Fuzzy inference is when we use what we do know about a topic to fill in the gaps about what we don't know about a topic or to infer new data about a topic. This can be done by joining or merging membership functions. For example, we all learned in grade school the inside angles of any triangle add up to 180 degrees. So if one triangle's angles are 30 degrees and 90 degrees, we can easily infer the last one has to be 60 degrees. What about when you get a drink with ice cubes from the local restaurant? Have you ever seen anyone ask for a hot temperature sleeve for a drink with ice? We can usually infer that if a drink has ice in it, it's going to be cold. Or what about when you walk outside and you can see your breath? If you don't know what the temperature's going to be outside, you can probably guess it's going to be pretty cold since seeing your breath infers that it's cold enough for your warm breath to be seen in the frigid air. If we wrote a rule in the car to say…
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