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Thick gradual intervals: An alternative interpretation of type-2 fuzzy intervals and its potential use in type-2 fuzzy computations

Authors :
Luc Jaulin
Laurent Foulloy
Reda Boukezzoula
Laboratoire d'Informatique, Systèmes, Traitement de l'Information et de la Connaissance (LISTIC)
Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])
Lab-STICC_ENSTAB_CID_PRASYS
Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC)
École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique)
Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique)
Institut Mines-Télécom [Paris] (IMT)
Source :
Engineering Applications of Artificial Intelligence, Engineering Applications of Artificial Intelligence, Elsevier, 2019, 85, pp.691-712. ⟨10.1016/j.engappai.2019.07.014⟩
Publication Year :
2019
Publisher :
Elsevier BV, 2019.

Abstract

International audience; This paper proposes a new interpretation of type-2 fuzzy intervals (T2FIs) through the joint use of gradual intervals (GIs) and thick intervals (TIs). In this framework, a T2FI is viewed as a thick gradual interval (TGI). This new representation gives an original concept for the manipulation of T2FIs according to the thick gradual representation. Furthermore, this vision allows an extension of the interval arithmetic arsenal and reasoning to the framework of T2FIs. The proposed approach can be regarded as more computationally viable, which will make T2FIs computations more useful in applied scenarios. As an illustration, the proposed concept is used to implement the elementary arithmetic operations on T2FIs. The potentialities of the TGI approach have been validated in the frameworks of T2FI aggregation operators and T2FI regression.

Details

ISSN :
09521976
Volume :
85
Database :
OpenAIRE
Journal :
Engineering Applications of Artificial Intelligence
Accession number :
edsair.doi.dedup.....3640ca8e4c3bd1aaa77830ebaad57b7a
Full Text :
https://doi.org/10.1016/j.engappai.2019.07.014