A possibilistic regression based on gradual interval B-splines: Application for hyperspectral imaging lake sediments-Reference-Cited by-同舟云学术

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

Published:2020-02 Issue: Volume:510 Page:183-204
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Boukezzoula Reda^ORCID,Coquin Didier^ORCID,Jacq Kévin^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference50 articles.

1. On the algebraic properties of stochastic arithmetic. Comparison to interval arithmetic;Alt,2001

2. A look at the statistical model identification;Akaike;IEEE Trans. Aut. Cont.,1974

3. A set arithmetic-based linear regression model for modeling interval-valued responses through real valued variables;Blanco-Fernandez;Inform. Sci.,2013

4. A revisited approach for linear fuzzy regression using trapezoidal fuzzy intervals;Bisserier;Inform. Sci.,2010

5. Alpha-bounds of fuzzy numbers;Bodjanova;Inform. Sci.,2003

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