Fuzzy logic

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Fuzzy logic is a term of techno-jargon to describe a class of logics in which a finite set of discrete truth values (e.g., "true" and "false" in binary logics) is replaced with an uncountable continuum of truth values, generally the set of real numbers between 0 and 1.[1]

Fuzzy logic is related to probabilistic logic, in which truth values convey a probability that a sentence is true in the same sense as binary logic; e.g., if the truth value of proposition A is 0.5, it means that A has a 50-50 probability of being true, but still must be either wholly true or wholly false. In fuzzy logic, by contrast, a truth value of 0.5 means that a statement is only "half true;" for example, if a proposition "The glass is full" had a truth value of 0.5, it could be interpreted as "The glass is half full."

Fuzzy Math[edit]

I was trying to do some fuzzy math. I used his calculator.
Dubya after a October 2000 presidential debate.[2]

"Fuzzy logic" is not to be confused with "fuzzy math" which was coined by then-presidential candidate George W. Bush during his first presidential debate with Democratic nominee Al Gore. Bush initially employed the phrase—along with a similar phrase, "phony numbers"—to criticize Gore's tax policy.[3] His use of the phrase is a classic example of the appeal to ridicule fallacy, as well as a prototype of his signature "Bushisms".

See also[edit]

  1. https://www.scientificamerican.com/article/what-is-fuzzy-logic-are-t/
  2. https://nypost.com/2000/10/08/bush-flubs-fuzzy-math-of-his-own/
  3. https://www.thecrimson.com/article/2000/10/19/fuzzy-math-texas-style-plet-me/