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On the Visualization of Discrete Non-additive Measures
Högskolan i Skövde, Institutionen för informationsteknologi.
Högskolan i Skövde, Institutionen för informationsteknologi.
Högskolan i Skövde, Institutionen för informationsteknologi.ORCID iD: 0000-0003-2900-9335
Högskolan i Skövde, Institutionen för informationsteknologi.ORCID iD: 0000-0002-0368-8037
2018 (English)In: Aggregation Functions in Theory and in Practice AGOP 2017 / [ed] Torra V, Mesiar R, Baets B, Springer, 2018, p. 200-210Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
Springer, 2018. p. 200-210
Series
Advances in Intelligent Systems and Computing, ISSN 2194-5357, E-ISSN 2194-5365 ; 581
National Category
Computer Sciences
Research subject
Skövde Artificial Intelligence Lab (SAIL); INF301 Data Science
Identifiers
URN: urn:nbn:se:hj:diva-43237DOI: 10.1007/978-3-319-59306-7_21ISI: 000432811600021Scopus ID: 2-s2.0-85019989762Local ID: 0;0;miljJAILISBN: 978-3-319-59306-7 (electronic)ISBN: 978-3-319-59305-0 (print)OAI: oai:DiVA.org:hj-43237DiVA, id: diva2:1293734
Conference
9th International Summer School on Aggregation Functions (AGOP), Skövde, Sweden, June 19-22, 2017
Available from: 2018-06-14 Created: 2019-03-05 Last updated: 2019-08-23Bibliographically approved

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Bae, JuheeVentocilla, ElioRiveiro, MariaTorra, Vicenç

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