“…The third approach for bipolar queries is based on the lexicographic ordering [10]. In this approach degrees for N and P are evaluated separately, i. e. no aggregation between the constraint and the wish is performed.…”
Section: Bipolar Queriesmentioning
confidence: 99%
“…A tuple which is beaten on the constraint cannot win even if it is notably better on the wish [10]. A tuple which is equal on the constraint wins, if it is even slightly better on the wish.…”
“…The third approach for bipolar queries is based on the lexicographic ordering [10]. In this approach degrees for N and P are evaluated separately, i. e. no aggregation between the constraint and the wish is performed.…”
Section: Bipolar Queriesmentioning
confidence: 99%
“…A tuple which is beaten on the constraint cannot win even if it is notably better on the wish [10]. A tuple which is equal on the constraint wins, if it is even slightly better on the wish.…”
“…For more information on various aspects of bipolar queries which attract more and more attention, we refer to, for instance: [85,8,29,31,63,60,61,64,66], etc.…”
“…In previous works, we have defined a fuzzy bipolar relational algebra [7], as well as a bipolar version of the fuzzy query language SQLf [20]. In this paper, our aim is to extend this latter work by considering new types of queries, namely those involving inclusion-based conditions.…”
Section: Th Conference Of the European Society For Fuzzy Logic And Tmentioning
confidence: 99%
“…Several definitions have been proposed, cf. [6,18,7]. Let us consider for instance the definition from [18], which is recalled hereafter.…”
Section: Graded Inclusion Of Bipolar Fuzzy Relationsmentioning
This paper deals with database fuzzy queries in the context where the fuzzy preference conditions involved are of a bipolar nature (the first pole corresponding to a constraint, the second to a wish). More precisely, we consider queries where an inclusion-based condition comes into play (a typical example being a division query). Due to the fact that bipolar fuzzy queries entail using a framework where bipolar fuzzy relations are handled, we are led to defining generalized inclusion indicators in this context. This paper proposes an interpretation of such indicators and investigates their properties as well as their practical use in a database querying context.
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