Fuzzy Logic and Probability: The Confusing Terms

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In this article, you will understand the difference between fuzzy logic and probability.

Fuzzy logic

It is a many-valued logic where the truth value of variables may be a real number between 0 and 1, including 0 and 1. Everything is associated with a degree.

  • It is based on natural language processing.

  • It can be integrated with programming.

  • It is best suited for approximation.

  • It is generally used by quantitative analysts.

  • It helps understand the concept of vagueness.

  • It captures the meaning of partial truth.

  • The degree of membership is in a set.

  • It is used in air conditioners, facial pattern recognition, vacuum cleaners, transmission systems, and subway control systems.


It is a branch of mathematics that deals with numerical descriptions of how likely an event is supposed to occur, or how likely a proposition is true.

  • The value lies in the range of 0 and 1.

  • It can’t be used for high approximations.

  • It captures partial knowledge.

  • It deals with the likelihood of the occurrence of an event.

  • It can’t capture any type of uncertainty.

  • It can only give a numerical value of whether an event can occur, and how many chances that it would be possible.

  • The probability event is in a set.

  • It is used in the field of manufacturing, decision-making, risk evaluation, scenario analysis, long-term gains, and losses calculation.

Both are terms to express uncertainty but in different ways. It informs you how uncertainty changes over a period when new data comes in.

Consider the following 2 examples 

Example 1 − There is a 59 percent chance that there will be a storm today.

Example 2 − The weather will be stormy today.

Example 1 suggests a percentage/probability that is a number.

Example 2 is fuzzy, there is no clarity about the severity. The statement is subjective.

Updated on 14-Oct-2022 11:58:23