From approximative to descriptive models

Presents a technique for translating rules that use approximative sets to rules that use descriptive sets and linguistic hedges of predefined meaning. The translated descriptive rules will be functionally equivalent to the original approximative ones, or the closest equivalence possible, while reflecting their underlying semantics. Thus, descriptive models can take advantage of any existing approach to approximative modelling which is generally efficient and accurate, whilst employing rules that are comprehensible to human users.