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Employing zSlices based general type-2 fuzzy sets to model multi level agreement

Wagner, Christian and Hagras, Hani (2011) Employing zSlices based general type-2 fuzzy sets to model multi level agreement. In: 2011 IEEE Symposium On Advances In Type-2 Fuzzy Logic Systems - Part Of 17273 - 2011 Ssci, 2011-04-11 - 2011-04-15.


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In this paper, we introduce the concept of Multi Level Agreement (MLA) based on (zSlices based) general type-2 fuzzy sets. We define the notion of MLA and describe how it can be computed based on a series of interval type-2 fuzzy sets. We provide examples, visualizing the nature of MLA sets and discuss their properties and interpretation. Moreover, we specifically address the reason for introducing MLA in order to allow the modeling of agreement in real world applications using fuzzy sets while still maintaining an uncertainty model and show that the use of general type-2 fuzzy sets is essential for MLA as classical sets, type-1 and interval type-2 fuzzy sets do not provide a degree of freedom which could be employed to model agreement. © 2011 IEEE.

Item Type: Conference or Workshop Item (Other)
Additional Information: Published proceedings: IEEE SSCI 2011: Symposium Series on Computational Intelligence - T2FUZZ 2011: 2011 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 12 Sep 2013 19:20
Last Modified: 15 Jan 2022 00:37

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