From 5ccf50ce2fa3c35a84cf0a00244dcb563d367b79 Mon Sep 17 00:00:00 2001 From: jrtechs Date: Thu, 16 May 2019 20:44:23 -0400 Subject: [PATCH] Initial draft of fuzzy logic blog post. --- blogContent/posts/data-science/fuzzy-logic.md | 31 +++++++++++++++++++ 1 file changed, 31 insertions(+) create mode 100644 blogContent/posts/data-science/fuzzy-logic.md diff --git a/blogContent/posts/data-science/fuzzy-logic.md b/blogContent/posts/data-science/fuzzy-logic.md new file mode 100644 index 0000000..c86bce3 --- /dev/null +++ b/blogContent/posts/data-science/fuzzy-logic.md @@ -0,0 +1,31 @@ +Nearly all applications of Fuzzy logic rely on the notion of +linguistic variables. These are variables whose values are words rather than +cold hard numbers. Something like "it is nice outside" is an examples of a linquistic +variable. These are values which don't necessarily directly relate to +cold hard numbers, but, they do in a roundabout way. When I say that it is nice +outside, that is subjective to my opinion; other people may have different opinions +on what is considered nice outside. That is why this is called fuzzy logic: each +fuzzy set carries some tolerance for imprecision. The tolerance for ambiguity helps us model +the world in a more realistic form by using language rather than cold hard numbers. +With words we can quickly convey ideas like "young" and "old" and quickly make actions +based on this knowledge. Since there is no definitive answer on what is the +cut of for being old/young, we can use fuzzy logic to deal with partial truth values. + +# Fuzzy Sets + +Classical sets are mutually exclusive. In other words: things can only belong +to one set at a time. +In a fuzzy set, elements can belong to multiple sets with some degree of membership. +As an example, someone who is 30 may be 33% in the young set and 66% in the old set. +Fuzzy sets are usually are represented by trapezoids; however, other shapes such as gaussian can +be used. + +## Temperature Example + +# Fuzzy Rules + +# Fuzzy Logic System + + + +# Example