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Management of Uncertainty and Vagueness in Databases: The Firms Point of View

In this paper, we present an approach to model and retrieve nuanced information (i.e. uncertain, fuzzy and incomplete information). The particularities of the model we propose are: • the introduction of the nuanced value concept to distinguish between a value (ex: young) and a nuance which is a complement on value and either expresses uncertainty (e.g. probably, …) or linguistic quantifiers/modifiers (e.g. very, often,…). • the possibility to represent aggregate attributes (i.e. attribute composed with a set of attributes) and to generate their values from nuanced value of the component attributes. • the advantage to define nuanced domain which is the set of all possible associations value/nuance for an attribute. We will show that a nuanced domain is an extension of the linguistic variable notion introduced by Zadeh. • the use of: (i) the fuzzy thesaurus concept to constraint values of discret attributes; (ii) an associated grammar of Chomsky to generate automatically the characteristic functions of the thesaurus terms. An interactive and progressive process is proposed to retrieve information taking into account fuzzy thesaurus and nuanced information. These propositions are implemented into FIRMS system that we realize in Smalltalk language.