Abstract
Non-additive measures generalize additive measures, and have been utilized in several applications. They are used to represent different types of uncertainty and also to represent importance in data aggregation. As non-additive measures are set functions, the number of values to be considered grows exponentially. This makes difficult their definition but also their interpretation and understanding. In order to support understability, this paper explores the topic of visualizing discrete non-additive measures using node-link diagram representations.
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Acknowledgements
This research has been conducted within BIDAF 2014/32 and NOVA 20140294 projects, supported by the Swedish Knowledge Foundation.
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Bae, J., Ventocilla, E., Riveiro, M., Torra, V. (2018). On the Visualization of Discrete Non-additive Measures. In: Torra, V., Mesiar, R., Baets, B. (eds) Aggregation Functions in Theory and in Practice. AGOP 2017. Advances in Intelligent Systems and Computing, vol 581. Springer, Cham. https://doi.org/10.1007/978-3-319-59306-7_21
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DOI: https://doi.org/10.1007/978-3-319-59306-7_21
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