We are concerned with the browsing of numerical data stored in popular relational databases by querying those data repositories using some non-standard, human consistent querying tools that fall within a broad category of flexible queries. We present queries with linguistic quantifiers and bipolar queries which can help express a real human intention which crucial because information that can suggest a security threat concerns a sophisticated concept and is related to a sophisticated combination of values of attributes that is difficult to express by using traditional querying tools, and also terms in those representations concern mostly issues and aspects which are difficult to precisely specify and quantify, and hence tools of fuzzy logic are employed. We assume a numerical relational database. Some very specific combination of values of attributes can suggest a potentially dangerous situation. To retrieve information the user has to express his or her interest, intention or information needs as a query. Usually, resulting query criteria cannot imply a binary decision of the acceptance/rejection of a row, and a degree is employed. A flexibility is obtained by a fuzzy modeling of linguistic terms and a non-standard aggregation of elementary conditions in a query, in our case a user may be fully satisfied with, e.g., most of them being fulfilled, also with varying importances, which results in queries with linguitsic quantifiers. We also discuss another non-standard approach to flexible querying that involves a specific flexible aggregation scheme assuming two types of conditions within a query, so called bipolar queries involving mandatory (required) and to some extent optional (desired) conditions.
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