A possibilistic regression based on gradual interval B-splines: Application for hyperspectral imaging lake sediments

Autor: Didier Coquin, Reda Boukezzoula, Kevin Jacq

Publikováno v: Information Sciences
Information Sciences, Elsevier, 2020, ⟨10.1016/j.ins.2019.09.031⟩

According to an epistemic view of intervals, this paper proposes a possibilistic regression based on gradual interval B-splines to represent the input-output data mapping. In this context, an improvement of the parametric fuzzy regression through the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87af9f561146f5d2918773e26998d971
https://doi.org/10.1016/j.ins.2019.09.031

Thick Fuzzy Sets (TFSs) and Their Potential Use in Uncertain Fuzzy Computations and Modeling

Autor: Didier Coquin, Benoit Desrochers, Luc Jaulin, Reda Boukezzoula

Publikováno v: IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems, Institute of Electrical and Electronics Engineers, 2021, 29 (11), pp.3334-3348. ⟨10.1109/tfuzz.2020.3018550⟩

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 re

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc2ac192aca67c4162e2830fcabee343
https://hal-ensta-bretagne.archives-ouvertes.fr/hal-03128908/document

Min and Max Operators for Gradual Intervals

Autor: Laurent Foulloy, Sylvie Galichet, Reda Boukezzoula

Publikováno v: IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems, Institute of Electrical and Electronics Engineers, 2018, 26 (6), pp.3569-3578. ⟨10.1109/TFUZZ.2018.2837651⟩

International audience; This paper presents a new and a more general formulation of the min and max operations for gradual intervals, initially proposed for the special case of triangular fuzzy intervals. Gradual intervals generalize the conventional

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c85ea268bd9c57cf79659ff653b2a35c
https://doi.org/10.1109/tfuzz.2018.2837651

Assistance via IoT Networking cameras and Evidence Theory for 3D Object Instance Recognition: Application for the NAO Humanoid Robot

Autor: Alexandre Benoit, Didier Coquin, Reda Boukezzoula, Thanh Long Nguyen

Publikováno v: Internet of Things
Internet of Things, Elsevier, 2020, ⟨10.1016/j.iot.2019.100128⟩

Object recognition problem based on cameras has become one of the most important tasks in robotics. Nevertheless, for a robot equipped with a camera and evolving in uncontrolled environment, many factors can limit the quality of its recognition, such

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83a33a1b1df7b935789faba062d395b5
https://hal.archives-ouvertes.fr/hal-02342865

Correction of Belief Function to Improve the Performances of a Fusion System

Autor: Rihab Ben Ameur, Didier Coquin, Reda Boukezzoula

Publikováno v: Information Processing and Management of Uncertainty in Knowledge-Based Systems ISBN: 9783030501426
IPMU (2)
Information Processing and Management of Uncertainty in Knowledge-Based Systems
Springer
18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020
18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020, Jun 2020, Lisbon, Portugal. pp.297-311, ⟨10.1007/978-3-030-50143-3_23⟩

International audience; Our application concerns the fusion of classifiers for the recognition of trees from their leaves, in the framework of belief functions theory. In order to improve the rate of good classification it is necessary to correct Bay

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a355f4e93a3971ed823aef7c7f540385
https://doi.org/10.1007/978-3-030-50143-3_23