FQUERY III+: A “human-consistent” database querying system based on fuzzy logic with linguistic quantifiers

Using a fuzzy-logic-based calculus of linguistically quantified propositions, a new, more “human-friendly” and easier-to-use implementation of a querying scheme proposed originally by Kacprzyk and Ziolkowski to handle imprecise queries including a linguistic quantifier is presented.

Abstract

Using a fuzzy-logic-based calculus of linguistically quantified propositions we present FQUERY III+, a new, more “human-friendly” and easier-to-use implementation of a querying scheme proposed originally by Kacprzyk and Ziołkowski to handle imprecise queries including a linguistic quantifier as, e.g. find all records in which most (almost all, much more than 75%, … or any other linguistic quantifier) of the important attributes (out of a specified set) are as desired (e.g. equal to five, more than 10, large, more or less equal to 15, etc.). FQUERY III+ is an “add-on” to Ashton-Tate's dBase III Plus.