Exploring Constrained Type-2 fuzzy sets

D'Alterio, P., Garibaldi, J.M. and Pourabdollah, A. ORCID: 0000-0001-7737-1393, 2018. Exploring Constrained Type-2 fuzzy sets. In: 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2018), Rio De Janeiro, Brazil, 8-13 July 2018.

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Abstract

Fuzzy logic has been widely used to model human reasoning thanks to its inherent capability of handling uncertainty. In particular, the introduction of Type-2 fuzzy sets added the possibility of expressing uncertainty even on the definition of the membership functions. Type-2 sets, however, don’t pose any restrictions on the continuity or convexity of their embedded sets while these properties may be desirable in certain contexts. To overcome this problem, Constrained Type-2 fuzzy sets have been proposed. In this paper, we focus on Interval Constrained Type-2 sets to see how their unique structure can be exploited to build a new inference process. This will set some ground work for future developments, such as the design of a new defuzzification process for Constrained Type-2 fuzzy systems.

Item Type: Conference contribution
Creators: D'Alterio, P., Garibaldi, J.M. and Pourabdollah, A.
Date: July 2018
Divisions: Schools > School of Science and Technology
Depositing User: Linda Sullivan
Date Added: 27 Jun 2018 09:05
Last Modified: 27 Jun 2018 09:06
URI: http://irep.ntu.ac.uk/id/eprint/33925

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