Abstract
Measures have been used to establish the degree in which a property holds. When this property is applied on a undetermined number of elements, multi-argument measures should be considered. More, if the values are in [0,1], we finally have to handle multi-argument fuzzy measures. This paper is devoted to obtain new multi-argument fuzzy measures on bounded lattices, using aggregation functions in two different ways. Developing the proposed methods, several functions measuring some properties with specified conditions are obtained.
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Cubillo, S., Calvo, T., Castiñeira, E.E. (2013). Obtaining Multi-argument Fuzzy Measures on Lattices. 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_50
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DOI: https://doi.org/10.1007/978-3-642-39165-1_50
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39164-4
Online ISBN: 978-3-642-39165-1
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