Mixture functions and their monotonicity-Reference-Cited by-同舟云学术

Mixture functions and their monotonicity

Published:2019-05 Issue: Volume:481 Page:520-549
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Špirková Jana^ORCID,Beliakov Gleb^ORCID,Bustince Humberto^ORCID,Fernandez Javier^ORCID

Funder

VEGA

Publisher

Elsevier BV

Subject

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

Reference40 articles.

1. Shape preserving approximation using least squares splines;Beliakov;Approx. Theory Appl.,2000

2. Fuzzy connectives for efficient image reduction and speeding up image analysis;Beliakov;IEEE Access,2018

3. Monotone approximation of aggregation operators using least squares splines;Beliakov;Int. J. Uncertain. Fuzziness Knowl.-Based Syst.,2002

4. Three types of monotonicity of averaging functions;Beliakov;Knowl. Based Syst.,2014

5. On the weak monotonicity of Gini means and other mixture functions;Beliakov;Inf. Sci.,2015

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