A logical approach to fuzzy data analysis

摘要

In this paper,we investigate the extraction of fuzzy rules from data tables based on possibility theory.A possibilistic decision language is used to represent the exracted fuzzy rules.The algorithm for rule extraction is presented and the complexity analysis is carred out.Since the results of the rule induction process strongly depend on the representation language,we also discuss some approach for dynamic adjustment of the language based on the data.