General multiple-objective decision functions and linguistically quantified statements
International Journal of Man-Machine Studies - Lecture notes in computer science Vol. 174
On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Fuzzy querying with SQL: extensions and implementation aspects
Fuzzy Sets and Systems - Mathematical Modelling
Fuzzy logic and knowledge representation using linguistic modifiers
Fuzzy logic for the management of uncertainty
SQLf: a relational database language for fuzzy querying
IEEE Transactions on Fuzzy Systems
Monadic L-fuzzy quantifiers of the type
Fuzzy Sets and Systems
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Many propositions to extend database management systems have been made in the last decade. Some of them aim to support a wider range of queries involving fuzzy predicates expressing preferences and this paper focuses on the evaluation of a particular subset of queries, namely those using fuzzy quantified statements. More precisely, we consider the queries calling on a partitioning where a linguistic quantifier appears in the set-oriented condition. This condition is expressed by a quantified statement of type "Q X are A" and its degree of truth is assumed to be computed via the Sugeno fuzzy integral. This paper proposes algorithms to evaluate such queries and the main objective is to reduce processing time by saving data access. Heuristics are integrated into the algorithms in order to conclude on the result without accessing all elements of the referential.