Showing papers by "Hans De Meyer published in 2008"
TL;DR: The results from this study suggest that gender, age, musical expertise, active musicianship, broadness of taste and familiarity with the music have an influence on the semantic description of music.
Abstract: A large-scale study was set up aiming at the clarification of the influence of demographic and musical background on the semantic description of music. Our model for rating high-level music qualities distinguishes between affective-emotive, structural and kinaesthetic descriptors. The focus was on the understanding of the most important attributes of music in view of the development of efficient search and retrieval systems. We emphasized who the users of such systems are and how they describe their favorite music. Particular interest went to inter-subjective similarities among listeners. The results from our study suggest that gender, age, musical expertise, active musicianship, broadness of taste and familiarity with the music have an influence on the semantic description of music. © 2008 Wiley Periodicals, Inc.
65 citations
TL;DR: The theory of partially ordered sets provides a solid formal framework for the ranking of objects without assigning a common scale and/or weights to the criteria, and therefore constitutes a valuable alternative to traditional approaches.
Abstract: When ranking objects (like chemicals, geographical sites, river sections, etc.) by multicriteria analysis, it is in most cases controversial and difficult to find a common scale among the criteria of concern. Therefore, ideally, one should not resort to such artificial additional constraints. The theory of partially ordered sets (or posets for short) provides a solid formal framework for the ranking of objects without assigning a common scale and/or weights to the criteria, and therefore constitutes a valuable alternative to traditional approaches. In this paper, we aim to give a comprehensive literature review on the topic. First we formalize the problem of ranking objects according to some predefined criteria. In this theoretical framework, we focus on several algorithms and illustrate them on a toy example. To conclude, a more realistic real-world application shows the power of some of the algorithms considered in this paper.
42 citations
TL;DR: In this paper, it is shown that dominance between continuous Archimedean t-norms is related to a generalization of the Mulholland inequality, which can be seen as a generalisation of the Minkowski inequality.
21 citations
TL;DR: This work discusses various ways in which to construct and process partial order relations or partially ordered sets (posets) in the context of ranking objects on the basis of multiple criteria and examines how to combine information coming from two sources.
Abstract: We discuss various ways in which to construct and process partial order relations or partially ordered sets (posets) in the context of ranking objects on the basis of multiple criteria. Oftentimes, it is undesirable or even impossible to devise a weighting scheme to compute a final score on the basis of the criteria. An alternative is then to restrict oneself to the information contained in the partial ordering of all objects implied by the criteria. We will consider some ways in which one can exploit partial order relations to determine a ranking of a collection of objects. More exactly, we will examine how to combine information coming from two sources, both for the case in which the sources are considered to be equally important, as well as for the case in which one source of information should take priority. We illustrate the concepts on pollution data coming from 59 regions in Baden-Wurttemberg.
13 citations
01 Jan 2008
TL;DR: Multicriteria Ordering and Ranking: Partial Orders, Ambiguities and Applied Issues Jan W. Owsinski and Rainer Bruggemann, Editors.
Abstract: Karel De Loof1, Bernard De Baets2 and Hans De Meyer1 1Department of Applied Mathematics and Computer Science, Ghent University, Krijgslaan 281 (S9), B-9000 Gent, Belgium, (karel.deloof{hans.demeyer}@ugent.be) 2Department of Applied Mathematics, Biometrics and Process Control, Ghent University, Coupure links 653, B-9000 Gent, Belgium, (bernard.debaets@ugent.be) Multicriteria Ordering and Ranking: Partial Orders, Ambiguities and Applied Issues Jan W. Owsinski and Rainer Bruggemann, Editors
11 citations
01 Jan 2008
TL;DR: Rademaker et al. as discussed by the authors proposed a multicriteria ordering and ranking for partial orders, ambiguities and applied issues in the context of computer science. But they did not specify the order of the partial orders.
Abstract: Michael Rademaker∗, Bernard De Baets∗ and Hans De Meyer† ∗Department of Applied Mathematics, Biometrics and Process Control, Ghent University, Coupure links 653, 9000 Gent, Belgium (michael.rademaker@ugent.be, bernard.debaets@ugent.be) †Department of Applied Mathematics and Computer Science, Ghent University, Krijgslaan 281 (S9), 9000 Gent, Belgium (hans.demeyer@ugent.be) Multicriteria Ordering and Ranking: Partial Orders, Ambiguities and Applied Issues Jan W. Owsinski and Rainer Bruggemann, Editors
1 citations
01 Jan 2008
TL;DR: The transitivity properties of reciprocal relations, also called probabilistic relations, are investigated within the framework of cycle-transitivity and interesting types of transitivity are highlighted and shown to be realizable in applications.
Abstract: In this paper, the transitivity properties of reciprocal relations, also called probabilistic relations, are investigated within the framework of cycle-transitivity. Interesting types of transitivity are highlighted and shown to be realizable in applications. For example, given a collection of random variables (X k )k ∈ I, pairwisely coupled by means of a same copula C ∈ {T M , T P , T L }, the transitivity of the reciprocal relation Q defined by \(Q (X_i,X_j) = {\rm Prob}\{X_i X_j\} + 1/2 {\rm\ Prob}\{X_i=X_j\}\) can be characterized within the cycle- transitivity framework. Similarly, given a poset (P, ≤ ) with P = {x 1, ..., x n }, the transitivity of the mutual rank probability relation Q P , where Q P (X i ,X j ) denotes the probability that x i precedes x j in a random linear extension of P, is characterized as a type of cycle-transitivity for which no realization had been found so far.
1 citations