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798 results on '"De Baets, B."'

20. A class of aggregation functions encompassing two-dimensional OWA operators

Author

Bustince, H., Calvo, T., De Baets, B., Fodor, J., Mesiar, R., Montero, Javier, Paternain, D., Pradera, A., Bustince, H., Calvo, T., De Baets, B., Fodor, J., Mesiar, R., Montero, Javier, Paternain, D., and Pradera, A.

Abstract

In this paper we prove that, under suitable conditions, Atanassov’s Ka operators, which act on intervals, provide the same numerical results as OWA operators of dimension two. On one hand, this allows us to recover OWA operators from Ka operators. On the other hand, by analyzing the properties of Atanassov’s operators, we can generalize them. In this way, we introduce a class of aggregation functions – the generalized Atanassov operators – that,in particular, include two-dimensional OWA operators. We investigate under which conditions these generalized Atanassov operators satisfy some properties usually required for aggregation functions, such as bisymmetry, strictness, monotonicity, etc. We also show that if we apply these aggregation functions to interval-valued fuzzy sets, we obtain an ordered family of fuzzy sets., Depto. de Estadística e Investigación Operativa, Fac. de Ciencias Matemáticas, TRUE, pub

Published
2023

21. A generalization of the migrativity property of aggregation functions

Author

Bustince, H., De Baets, B., Fernande, J., Mesiar, R., Montero, Javier, Bustince, H., De Baets, B., Fernande, J., Mesiar, R., and Montero, Javier

Abstract

This paper brings a generalization of the migrativity property of aggregation functions, suggested in earlier work of some of the present authors by imposing the a-migrativity property of Durante and Sarkoci for all values of a instead of a single one. Replacing the algebraic product by an arbitrary aggregation function B naturally leads to the properties of a–B-migrativity and B-migrativity. This generalization establishes a link between migrativity and a particular case of Aczel’s general associativity equation, already considered by Cutello and Montero as a recursive formula for aggregation. Following a basic investigation, emphasis is put on aggregation functions that can be represented in terms of an additive generator, more specifically, strict t-norms, strict t-conorms and representable uninorms., Government of Spain, APVV, MSM VZ, Depto. de Estadística e Investigación Operativa, Fac. de Ciencias Matemáticas, TRUE, pub

Published
2023

35. Responses of butterflies to climate extremes, a long-term analysis

Author

Shan, B., De Baets, B., and Verhoest, N.

Abstract

Given the observed and predicted increase in the frequency and intensity of many climate extremes, researchers have shown an increased interest in climate extremes and their impacts on ecosystems due to their profound effects. However, most related studies have primarily focused on droughts and summer heatwaves, and relatively little is known about the effects of other types of extremes, such as winter heatwaves, extreme wet periods, and cold waves. In our study, we identify four types of climate extremes (heatwaves, cold waves, droughts, and extreme wet periods) on the daily basis and analyze their impact on the abundance of butterfly species (n=34) at each life stage (hibernation, egg, larval, pupal, and adult) in England over a 45-year period. Our results highlight the importance of considering different types of extreme events throughout the year for ecological studies. For example, heatwaves and cold spells during the overwintering stage play inverse roles in butterfly abundance, with the former having a negative impact and the latter having a positive impact.Moreover, our findings suggest that climate extremes are the primary drivers of changes in butterfly abundance. Specifically, butterfly species in England show population crashes in the years (1976, 1980, 1993, 2000, 2007, 2012, 2015) with the most severe drought events, wet events in the non-hibernation period, and heatwave events in the hibernation period. contrast, in 1981, with severe cold wave events during the hibernation period, butterfly species experienced an explosion in population., The 28th IUGG General Assembly (IUGG2023) (Berlin 2023)

Published
2023
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38. Edge Detection on Interval-Valued Images

Author

Lopez-Molina, C., De Baets, B., Barrenechea, E., Bustince, H., Kacprzyk, Janusz, editor, Melo-Pinto, Pedro, editor, Couto, Pedro, editor, Serôdio, Carlos, editor, Fodor, János, editor, and De Baets, Bernard, editor

Published
2012
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42. How to Avoid LEM Cycles in Mutual Rank Probability Relations

Author

De Loof, K., De Baets, B., De Meyer, H., Kacprzyk, Janusz, editor, Borgelt, Christian, editor, González-Rodríguez, Gil, editor, Trutschnig, Wolfgang, editor, Lubiano, María Asunción, editor, Gil, María Ángeles, editor, Grzegorzewski, Przemysław, editor, and Hryniewicz, Olgierd, editor

Published
2010
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49. A t-Norm Based Approach to Edge Detection

Author

Lopez-Molina, C., Bustince, H., Fernández, J., Barrenechea, E., Couto, P., De Baets, B., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Cabestany, Joan, editor, Sandoval, Francisco, editor, Prieto, Alberto, editor, and Corchado, Juan M., editor

Published
2009
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50. Possibilistic compositions and state functions: application to the order promising process for perishables.

Author

Grillo, H., Alemany, M.M.E., Ortiz, A., and De Baets, B.

Subjects
ORDER picking systems, PERISHABLE goods, MATHEMATICAL programming, COMPUTATIONAL complexity, LINEAR programming
Abstract

In this paper, we propose the concepts of the composition of possibilistic variables and state functions. While in conventional compositional data analysis, the interdependent components of a deterministic vector must add up to a specific quantity, we consider such components as possibilistic variables. The concept of state function is intended to describe the state of a dynamic variable over time. If a state function is used to model decay in time, it is called the ageing function. We present a practical implementation of our concepts through the development of a model for a supply chain planning problem, specifically the order promising process for perishables. We use the composition of possibilistic variables to model the existence of different non-homogeneous products in a lot (sub-lots with lack of homogeneity in the product), and the ageing function to establish a shelf life-based pricing policy. To maintain a reasonable complexity and computational efficiency, we propose the procedure to obtain an equivalent interval representation based on α-cuts, allowing to include both concepts by means of linear mathematical programming. Practical experiments were conducted based on data of a Spanish supply chain dedicated to pack and distribute oranges and tangerines. The results validated the functionality of both, the compositions of possibilistic variables and ageing functions, showing also a very good performance in terms of the interpretation of a real problem with a good computational performance. [ABSTRACT FROM AUTHOR]

Published
2019
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