Bipolar queries: An aggregation operator focused perspective

doi:10.1016/j.fss.2011.10.013

Fuzzy Sets and Systems

Volume 196, 1 June 2012, Pages 69-81

https://doi.org/10.1016/j.fss.2011.10.013 Get rights and content

Abstract

The concept of a bipolar query, meant as a database query that involves both negative and positive conditions, is discussed from the point of view of flexible database querying and modeling of more sophisticated intentions and preferences of the user. The aggregation of matching degrees against the negative and positive conditions to derive an overall matching degree is considered taking into account as the point of departure the Lacroix and Lavency's (1987) [1] approach and the semantics of these conditions. Three variants of formalization of the “and possibly” operator which governs the adopted aggregation mode of the negative and positive parts of a bipolar query are proposed. These variants take the form of logical formulas whose logical connectives may be modeled using fuzzy logic in many different ways. New recommendations as to the choice of such variants and sets of logical connectives, which preserve the assumed semantics of the “and possibly” operator, expressed as a number of postulated plausible, or desired, properties of aggregation, are formulated.

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Bipolar queries: An aggregation operator focused perspective

Abstract

Inf. Fusion

Fuzzy Sets Syst.

Inf. Sci.

Inf. Sci.

Artif. Intell.

Int. J. Man–Machine Stud.

Bipolar representation and fusion of preferences on the possibilistic logic framework

Bipolar possibilistic representations

Modeling positive and negative information in possibility theory

Int. J. Intell. Syst.

An introduction to bipolar representations of information and preference

Int. J. Intell. Syst.

New semantics for quantitative possibility theory

Knowledge-driven versus data-driven logics

J. Logic Lang. Inf.

Implicative and conjunctive fuzzy rules—a tool for reasoning from knowledge and examples

Bipolar and bivariate models in multicriteria decision analysis: descriptive and constructive approaches

Int. J. Intell. Syst.

SQLf: a relational database language for fuzzy querying

IEEE Trans. Fuzzy Syst.

FQUERY for access: fuzzy querying for a windows-based DBMS

Fuzzy orderings in flexible query answering systems

Soft Comput.