updated README

Author: amogorkon

README.md

@@ -9,7 +9,7 @@ And yes, it's also possible to implement the whole thing completely in a functio
 Finally, most education on the subject emphasize sets and membership functions, but fail to mention the importance of the domain (or "universe of discourse"). It's easy to miss this point if you get lost with set operations and membership values, which are actually not that difficult once you can *play* and *explore* how these things look and work!
 
 ### The Idea
-So, the idea is to have four main parts that work together: Domains, Sets, functions and Rules. You start modelling your system by defining your domain of interest. Then you think about where your interesting points are in that domain and look for a function that might do what you want. In general, fuzzy.functions map any value to [0,1], that's all. Then simply wrap your function in a Set and assign this to the domain in question. Once assigned, you can plot that set and see if it actually looks how you imagined. Now that you have one or more sets, you also can start to combine them with set operations &, |, ~, etc. It's fairly straight forward.
+So, the idea is to have four main parts that work together: domains, sets, functions and rules. You start modelling your system by defining your domain of interest. Then you think about where your interesting points are in that domain and look for a function that might do what you want. In general, fuzzy.functions map any value to [0,1], that's all. Then simply wrap your function in a Set and assign this to the domain in question. Once assigned, you can plot that set and see if it actually looks how you imagined. Now that you have one or more sets, you also can start to combine them with set operations &, |, ~, etc. It's fairly straight forward.
 Finally, use the Rules to map input domain to output domain to actually control stuff.
 
 Check the notebook for working examples and documentation.