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The Use of Fuzzy Logic in Creating a Visual Data Summary of a Telecom Operator’s Customer Base
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
Telenor, SWE.
Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
2019 (English)In: Communications in Computer and Information Science, Springer Verlag , 2019, Vol. 932, p. 301-312Conference paper, Published paper (Refereed)
Abstract [en]

As pointed out by Zadeh, the mission of fuzzy logic in the era of big data is to create a relevant summary of huge amounts of data and facilitate decision-making. In this study, elements of fuzzy set theory are used to create a visual summary of telecom data, which gives a comprehensive idea concerning the desirability of boosting an operator’s presence in different neighborhoods and regions. The data used for validation cover historical mobility in a region of Sweden during a week. Fuzzy logic allows us to model inherently relative characteristics, such as “a tall man” or “a beautiful woman”, and importantly it also defines “anchors”, the situations (characterized with the value of the membership function for the characteristic) under which the relative notion receives a unique crisp interpretation. We propose color coding of the membership value for the relative notions such as “the desirability of boosting operator’s presence in the neighborhood” and “how well the operator is doing in the region”. The corresponding regions on the map (e.g., postcode zones or larger groupings) are colored in different shades passing from green (1) though yellow (0.5) to red (0). The color hues pass a clear intuitive message making the summary easy to grasp. © 2019, Springer Nature Singapore Pte Ltd.

Place, publisher, year, edition, pages
Springer Verlag , 2019. Vol. 932, p. 301-312
Series
Communications in Computer and Information Science, ISSN 1865-0929 ; 932
Keywords [en]
Call Detail Records, Color, Fuzzy membership function, Mobility data, Computer circuits, Decision making, Fuzzy set theory, Membership functions, Color coding, Customerbase, Membership values, Mobility datum, Telecom operators, Use of fuzzy logic, Fuzzy logic
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:bth-17870DOI: 10.1007/978-981-13-6052-7_26ISI: 000465006200026ISBN: 9789811360510 (print)OAI: oai:DiVA.org:bth-17870DiVA, id: diva2:1313024
Conference
1st International Conference on Intelligent Technologies and Applications, INTAP 2018; Bahawalpur; Pakistan; 23 October 2018 through 25 October 2018
Available from: 2019-05-02 Created: 2019-05-02 Last updated: 2019-05-03Bibliographically approved

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Sidorova, YuliaLennerstad, HåkanLundberg, Lars

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