Fuzzy Logic vs.Induction Heating Rice Cookers



What Is a Fuzzy or Neuro Fuzzy Logic Rice Cooker?

Fuzzy logic is a form of non-linear logic. It deals with approximation and inference rather than precision. Fuzzy logic is measured by a range of variables. Fuzzy logic has a wide range of applications in the areas of control systems and artificial intelligence.

Neuro-fuzzy refers to artificial neural networks and fuzzy logic. Neuro-fuzzy logic resembles the human-like reasoning with the ability to derive “IF-Then” rules.

When fuzzy logic or neuro fuzzy logic is applied in a rice cooker, the rice cooker can “think” on its own via a micro-computerized chip. It is able to discern different types of rice or grains to yield optimally cooked rice. Then it determines the cooking time and temperature according to the thermal sensor’s calculation.

What Is a Induction Heating Rice Cooker?

Induction heating is a non-contact heating process using radio frequency electricity through an electrical conductive material. Induction heating is the most advanced heating technology. It has numerous applications such as industrial and household appliances.

In the context of a rice cooker, an induction heating “zone” is built underneath an inner pot. The inner pot is like a heat conductor. An alternating electric current flows in the external vessel where the inner pot is housed to produce resistive heating. The surrounding heating cooks the rice or food in the inner pot. The inner pot has to be of high ferrous metal content at the base. Examples of such are cast iron, black metal or iron pans.



Advantages of Induction Heating vs. Fuzzy Logic Rice Cooker

  1. Induction heating rice cooker uses the entire inner pot as a heating element instead of just heating from the heating plate on the bottom of the external vessel.
  2. Induction heating is superior to fuzzy logic as it is more responsive to temperature change and is able to make instantaneous and precise adjustment.
  3. It is faster to heat the cooking vessel. Therefore, it takes less time to cook rice. For example, using Zojirushi induction heating rice cooker, it takes 50 minutes to cook sushi rice vs. 61 minutes in a neuro-fuzzy logic rice cooker.
  4. It cooks food more evenly due to the high conductivity of the inner pot.
  5. Rice tastes better and fluffier.


  1. It is more expensive. Induction heating rice cookers are priced at a premium in pricing ranging from $200 to $500.
  2. It consumes more electricity than a fuzzy logic rice cooker in cooking. For example, Zojirushi NP-HBC10 5.5 Cup Rice Cooker consumes 1230/29 watts per hour to cook or keep warm vs Zojirushi NS-ZCC10 Fuzzy Logic 5.5 Rice Cooker‘s 680/37 watts. For cooking, the induction heating rice cooker almost doubles the electric consumption.
  3. It’s heavier. For instance, Zojirushi NP-HBC10 weighs about 9 lbs vs NS-ZCC10’s 6.4 lbs.
  4. The dimensions of the NP-HBC10 induction rice cooker are 10 x 14 x 8 for the 5.5 cups vs. NS-ZCC10’s 10 x 13 x 8.1. The induction one is tad thicker.

Since induction heating technology is considered an advanced heating technology, only some of the rice cooker manufacturers have this line of rice cookers. Among the few, Zojirushi carries the most models, followed by Tiger, another Japanese brand, and two Korean rice cooker manufacturers, Cuckoo, and Lihom.

If you are interested in reading in-depth reviews of the induction heating rice cookers and the fuzzy logic or neuro fuzzy logic kind, you may go to the Best Rice Cookers which is a summary of all the rice cookers I’ve reviewed to date. Click on the “Heating Technology” column to sort by type or click on individual Model # to read the full review.

Final Thought

Some would argue that the incremental benefits in an induction heating rice cooker can’t justify for the hefty price hike. Others would be gladly to shell out money to enjoy the better tasting rice. In the end of the day, it is really what’s important to you and how you would justify the buying decision.

  1. mike says:

    thanks for the information on rice cookers


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