Fuzzy Sets and Systems 160 (2009) 2141 – 2158
www.elsevier.com/locate/fss
Impact of weights on conjunctive and disjunctive aggregation of
extended possibilistic truth values
Tom Matthé
∗
, Guy De Tré, Axel Hallez
Ghent University, Department of Telecommunications and Information Processing, Sint-Pietersnieuwstraat 41, B-9000 Gent, Belgium
Available online 26 February 2009
Abstract
Extended possibilistic truth values are a flexible means to model the certainty or uncertainty about the truth value of a proposition.
With respect to flexible database querying, they are suited to express the extent to which a database instance satisfies a query
condition. Since a flexible query can impose several conditions, each with different importance, weighted aggregation is necessary.
In this paper, weighted aggregation of extended possibilistic truth values is presented. The impact of the weights on extended
possibilistic truth values in both conjunctive and disjunctive aggregation is handled. It is illustrated that the different aggregation
types require a different approach. Special care is given to the case where both conjunctive and disjunctive aggregation are mixed
together. It is shown that the weights will have to be propagated throughout the calculations, but that this can cause basic properties,
like associativity, to get lost. The problems that can arise are illustrated and solutions are proposed.
© 2009 Elsevier B.V. All rights reserved.
Keywords: Fuzzy connectives and aggregation operators; Flexible querying; Extended possibilistic truth values
1. Introduction
Databases are continuously growing in size, and, using traditional querying techniques, users are confronted with
difficulties to find the information they are looking for. So, more and more, users are realizing the benefits of using
flexible querying systems [1,4,5,7,14,15,17,23,24]. The main goal of flexible querying is to allow the user to express
his/her query in a more flexible way. Preferences can be used to indicate the users wishes. Introducing these preferences
can be done at two levels: inside elementary query conditions, allowing for the user to impose flexible search criteria
which express to what degree particular attribute values are adequate for the result, and between query conditions,
allowing for the user to attach weights, expressing importance, to the individual query conditions. This paper will not
deal with the preferences inside the elementary query conditions, and hence will not discuss the evaluation of selection
criteria. The focus of this paper lies on one aspect of flexible querying, namely on the aggregation of the results of the
evaluation of the individual selection criteria (which can be flexible or not), taking into account that weights can be
attached to the individual selection criteria. Primarily, these are mathematical concepts, above which there is a layer of
practical decision making. However, discussing this decision making is not the goal of this paper.
∗
Corresponding author.
E-mail addresses: Tom.MATTHE@UGent.be (T. Matthé), Guy.DETRE@UGent.be (G. De Tré), Axel.HALLEZ@UGent.be (A. Hallez).
0165-0114/$-see front matter © 2009 Elsevier B.V. All rights reserved.
doi:10.1016/j.fss.2009.02.011