In this paper, we propose a simple but powerful heuristic method for automatically
generating fuzzy if-then rules from numerical data. Fuzzy if-then rules with nonfuzzy
singletons (ie, real numbers) in the consequent parts are generated by the proposed
heuristic method. The main advantage of the proposed heuristic method is its simplicity, ie, it
involves neither time-consuming iterative learning procedures nor complicated rule
generation mechanisms. We also suggest a linguistic representation method for deriving …