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Today many household appliances have fuzzy logic built into them to make their use easier. You can find fuzzy logic in shower heads, rice cookers, vacuum cleaners, and just about everywhere. So you can get an idea how these machines work, we’ll look at this simplified model of a fuzzy washing machine in the following link. Like a real fuzzy washing machine would, it tests how dirty the laundry is. Once it knows how dirty the laundry is, it can easily calculate how long it should wash it. Fuzzy-logic rice cookers have computer chips that direct their ability to make proper adjustments to cooking time and temperature. Unlike basic rice cookers, which complete tasks in a single-minded, mechanical manner, the process behind the fuzzy-logic rice cookers needs a bit more explanation.
The fuzzy sets theory, first proposed by UC Berkeley professor Lotfi Zadeh in 1965, laid the groundwork for fuzzy logic, which he also put forward in 1973. Fuzzy sets theory has to do with mathematical sets, or groups of items known as elements. In most mathematical sets, an element either belongs to the set or it doesn’t. Fuzzy logic is basically a way to program machines so they look at the world in a more human way, with degrees of truth. Instead of cold, hard parameters and strict data sets, fuzzy logic assumes a more practical approach. Using numbers, it incorporates non-definitive words like “slightly” or “almost” into its decision-making processes. As a result, the use of fuzzy logic in rice cookers helps to ensure properly cooked rice because it gives the appliances the ability to make judgment calls similar to those a person might make, albeit typically better than those a hungry, impatient person might make. (If you wanna more information about Fuzzy Rice Cooker, please click link here.)