1. Thick Fuzzy Sets (TFSs) and Their Potential Use in Uncertain Fuzzy Computations and Modeling
- Author
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Didier Coquin, Benoit Desrochers, Luc Jaulin, 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]), Equipe ROBotics for EXploration (Lab-STICC_ROBEX), 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), and École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)
- Subjects
0209 industrial biotechnology ,Type-2 fuzzy sets (T2FSs) ,Thick sets (TSs) ,Computer science ,Computation ,Fuzzy set ,02 engineering and technology ,Interval (mathematics) ,Fuzzy logic ,Upper and lower bounds ,[SPI.AUTO]Engineering Sciences [physics]/Automatic ,[SPI]Engineering Sciences [physics] ,020901 industrial engineering & automation ,Dimension (vector space) ,Artificial Intelligence ,0202 electrical engineering, electronic engineering, information engineering ,computer.programming_language ,Applied Mathematics ,Underwater robot ,Cascading Style Sheets ,Crisp sets (CSs) ,Thick fuzzy sets (TFSs) ,Type-1 fuzzy sets (T1FSs) ,Computational Theory and Mathematics ,Control and Systems Engineering ,Robot ,020201 artificial intelligence & image processing ,computer ,Algorithm - Abstract
International audience; This paper aims at proposing the concept of thick fuzzy sets (TFSs). A TFS is based on the joint use of thick sets (TSs) and -cuts concepts. A TFS is represented by a family of nested TSs. A TS is an uncertain set, which is represented by a pair of crisp sets (CSs). These CSs characterize the upper and lower bounds of the TS. Therefore, a TS can be regarded as an interval of CSs. In this framework, as a type-1 fuzzy set (T1FS) is regarded as a family of nested CSs, a TFS can be represented by a family of nested TSs. Furthermore, according to the vertical dimension, a TFS can be regarded as an interval with T1FS bounds. The potentialities of the TFS concept have been validated using application examples where a real-world application for modeling the zone explored by an underwater robot is given.
- Published
- 2021
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