Constructing Fuzzy Models with Linguistic Integrity-AFRELI Algorithm
Jairo Jose Espinosa, Joos P. L. Vandewalle · 2000
We present an algorithm to extract rules relating input-output data. The rules are created in the environment of fuzzy systems. The concept of linguistic integrity is discussed and used as a framework to propose an algorithm for rule extraction (AFRELI). The algorithm is complemented with the use of the FuZion algorithm created to merge consecutive membership functions and guaranteed the distinguishability between fuzzy sets on each domain. Keywords Fuzzy Modeling, function approximation, knowledge extraction, data minning I. Introduction Mathematical models are powerful tools to natural phenomena represent in a systematic way . They open the possibility of studying the behavior of a system via simulation avoiding costly experiments. The sources of information to construct such models are typically natural laws, input-output data (causal models) and linguistic information (heuristics). Fuzzy models were conceived as a systematic way to construct models from linguistic information. A ...