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Prioritisation of weighted strategies in multiplayer games with fuzzy entries of the payoff matrix
Blekinge Institute of Technology, School of Engineering, Department of Mathematics and Science.ORCID iD: 0000-0002-9920-7946
Blekinge Institute of Technology, School of Engineering, Department of Mathematics and Science.
Blekinge Institute of Technology, School of Engineering, Department of Signal Processing.
Responsible organisation
2010 (English)In: International Journal of General Systems, ISSN 0308-1079, E-ISSN 1563-5104, Vol. 39, no 3, p. 291-304Article in journal (Refereed) Published
Abstract [en]

We explore the classical model of a two-player game to select the best strategies, where action is expected to maintain the values of a certain variable on the neutral level. By inserting fuzzy sets as payoff values in the game matrix, we facilitate the procedure of formulations of payoff expectations by players. Instead of making inconvenient decisions about the choice of accurate numerical entries of the matrix, the players are able to use words, which should simplify communication between them when designing the preliminaries of the game. The players also have the possibility of making a ranking of their favourite strategies. At the next stage of the play, we involve group decision-making in order to aggregate results coming from several paired games, when more than two players contradict each other.

Place, publisher, year, edition, pages
Taylor&Francis , 2010. Vol. 39, no 3, p. 291-304
Keywords [en]
two-player game, fuzzy payoff matrix, weighted strategies, group decision-making
National Category
Mathematics
Identifiers
URN: urn:nbn:se:bth-7893DOI: 10.1080/03081070903552882ISI: 000275196000006Local ID: oai:bth.se:forskinfoA575B78E12FDA721C12576B7004FEEA3OAI: oai:DiVA.org:bth-7893DiVA, id: diva2:835564
Available from: 2012-09-18 Created: 2010-01-26 Last updated: 2018-12-19Bibliographically approved
In thesis
1. Applications of Soft Computing Techniques for Wireless Communications
Open this publication in new window or tab >>Applications of Soft Computing Techniques for Wireless Communications
2019 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

This thesis presents methods and applications of Fuzzy Logic and Rough Sets in the domain of Telecommunications at both the network and physical layers. Specifically, the use of a new class of functions, the truncated π functions, for classifying IP traffic by matching datagram size histograms is explored. Furthermore, work on adapting the payoff matrix in multiplayer games by using fuzzy entries as opposed to crisp values that are hard to quantify, is presented.

Additionally, applications of fuzzy logic in wireless communications are presented, comprised by a comprehensive review of current trends and applications, followed by work directed towards using it in spectrum sensing and power control in cognitive radio networks.

This licentiate thesis represents parts of my work in the fields of Fuzzy Systems and Wireless Communications. The work was done in collaboration between the Departments of Applied Signal Processing and Mathematics at Blekinge Institute of Technology.

Place, publisher, year, edition, pages
Karlskrona: Blekinge Tekniska Högskola, 2019
Series
Blekinge Institute of Technology Licentiate Dissertation Series, ISSN 1650-2140 ; 1
National Category
Telecommunications
Identifiers
urn:nbn:se:bth-17314 (URN)978-91-7295-364-2 (ISBN)
Supervisors
Available from: 2018-12-19 Created: 2018-11-19 Last updated: 2019-01-17Bibliographically approved

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Rakus-Andersson, ElisabethZettervall, HangErman, Maria

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