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Fuzzy Logic and Probability: The Confusing Terms
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.
Probability
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.
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