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The term Fuzzy Logic technology is something you’ve probably encountered quite a lot while browsing through best rice cookers guides. You know it’s something that makes these high-end rice cookers work better than other models with the same electrical rating and heating element, but how exactly? How are they better at cooking rice than your conventional rice cookers? In this article, we’ll talk about what fuzzy logic is and its uses.
Unlike binary logic that functions in a true or false sense, fuzzy logic technology is a decisions-based reasoning process that is almost similar to human thinking. This method is comparable to how humans make decisions and it includes all of the options in between yes or no. Neural nets, control devices, and home appliances built with fuzzy logic like a rice cooker make fine adjustments according to multiple factors, and that can be particularly ideal when dealing with several variables that can’t be classified in a Yes or No mechanism.
Lotfi Zadeh, a UC Berkeley professor, introduced the fuzzy sets theory in 1965. This created the framework for fuzzy logic, which he also suggested in 1973. The concept of fuzzy sets is concerned with mathematical sets, or collections of entities known as elements.
In most mathematical sets, an element either belongs to or does not belong to the set. Elements in fuzzy logic, on the other hand, can belong to sets to variable degrees. Fuzzy logic is essentially a method of machine learning to view the world in a more human manner and gain additional knowledge, for example, a chatbox learning the natural language of humans.
When it comes to the real world, it turns out that fuzzy logic is a better fit than merely binary on and off. It is no surprise then that it has found its way into a variety of intriguing applications and various AI systems, such as facial identification, voice recognition, and temperature management on air conditioners, for example.
Fuzzy logic applications can be found almost wherever there is something that requires flexible decision-making based on both stored and new data. So, in addition to modern robots and smartphones, fuzzy logic can be found in various domestic appliances such as vacuum cleaners, washing machines, and, of course, rice cookers.
While a conventional rice cooker might still cook perfect rice, the truth is that a fuzzy logic rice cooker would outperform it in every aspect. Fuzzy-logic rice cookers use computer chips to modify cooking time and temperature as needed. In contrast to traditional rice cookers, which accomplish duties in a one-track, mechanical manner, a neuro-fuzzy rice cooker takes into account the cooking times required for different rice varieties and adjusts its induction heating, pressure, and timer to cook perfect rice. It will even determine when to set the cook mode to warm.
While a conventional rice cooker would cook brown rice like it would cook sushi rice, a fuzzy logic rice cooker will adjust its cooking process according to the grain you’re cooking. This leaves you with high-quality cooked rice that has the perfect consistency every time.
There are other alternative rice cooker technologies available on the market, but fuzzy logic rice cookers can outperform them all. This is due to its versatile cooking options and fuzzy logic system. It produces excellent rice even when done by inexperienced home cooks. The incorporation of fuzzy logic in rice cookers has enabled this type of appliance to react more intelligently to the variables that affect the final output, such as sudden changes in the core cooking temperature, the length of time it takes for the entire pan to warm up, the amount of water left inside, and etcetera.
As you probably already know, rice varieties all cook differently. For example, white rice cooks faster than semi-brown, and wild rice takes hours to cook. Even preparing rinse-free rice can produce a different output. With these varying cooking times and multiple variables, it can be difficult to achieve perfect consistency while only using a conventional rice cooker.
Traditional rice cookers only feature one cook setting with a specified temperature that may be used for cooking all varieties of rice. This restriction should not be an issue if you prepare only one type of rice most of the time, however, cooking with glutinous rice and other unique grains is a different story. It’s still possible to cook these varieties in a normal rice cooker with proper supervision and enough practice, but that can be off-putting as you bought a rice cooker for its convenience. People buy rice cookers because they don’t have the time to watch over their rice while it cooks, after all.
In short, the sole advantage of fuzzy logic rice cookers over non-fuzzy ones is that users can set exact cooking phases to ensure that specific rice types are appropriately cooked. Of course, you can still use a conventional unit to cook grains like brown rice, but again, most rice cooker owners bought the appliance for the sake of convenience.
Since it’s more advanced, a rice cooker with fuzzy logic technology is far more expensive. If you’re a little low on budget, it’s advised that you only get this type of cooker if your household eats more than one type of cooked rice. Otherwise, it’s best to stick to conventional models.
Cooking rice is something that requires a lot of skill, particularly if you’re using a stove. Not a lot of people can cook rice perfectly, and most will find it inconvenient to supervise a boiling pot when they have other matters to attend to. Therefore it’s unsurprising to find people preferring a fuzzy logic unit that requires little to no effort.
When trying to make perfectly cooked rice, you can never go wrong with a fuzzy logic rice cooker. For more rice cooker reviews and blogs, you can check out our website. We have a guide on the best rice dispensers in the market that you might want to check out.
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