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Additive Generators of Overlap Functions

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Aggregation Functions in Theory and in Practise

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 228))

Abstract

Overlap functions are a particular instance of aggregation functions, consisting by non-decreasing continuous commutative bivariate functions defined over the unit square, satisfying appropriate boundary conditions. Overlap functions play an important role in classification problems, image processing and in some problems of decision making based on fuzzy preference relations. The concepts of indifference and incomparability defined in terms of overlap functions may allow the application in several different contexts. The aim of this papers is to introduce the notion of additive generators of overlap functions, allowing the definition of overlap functions (as two-place functions) by means of one-place functions, which is important since it can reduce the computational complexity in applications. Also, some properties of an overlap function presenting a generator can be related to properties of its generator, pointing to a more systematic methodology for their selection for the various applications.

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Correspondence to Graçaliz Pereira Dimuro .

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Dimuro, G.P., Bedregal, B. (2013). Additive Generators of Overlap Functions. In: Bustince, H., Fernandez, J., Mesiar, R., Calvo, T. (eds) Aggregation Functions in Theory and in Practise. Advances in Intelligent Systems and Computing, vol 228. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39165-1_19

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  • DOI: https://doi.org/10.1007/978-3-642-39165-1_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39164-4

  • Online ISBN: 978-3-642-39165-1

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