International Journal of Computational Intelligence Systems

Volume 13, Issue 1, 2020, Pages 1464 - 1472

On Relationship between L-valued Approximation Spaces and L-valued Transformation Systems

Authors
Sutapa MahatoORCID, S.P. Tiwari*
Department of Mathematics and Computing, Indian Institute of Technology (ISM), Dhanbad-826004, India
*Corresponding author. Email: sptiwarimaths@gmail.com
Corresponding Author
S.P. Tiwari
Received 9 May 2020, Accepted 2 September 2020, Available Online 14 September 2020.
DOI
10.2991/ijcis.d.200904.001How to use a DOI?
Keywords
L-valued approximation spaces; L-valued natural transformation; L-valued transformation systems; Category; Functor
Abstract

The objective of this paper is to establish the relationship between L-valued approximation spaces and L-valued transformation systems. We show that for each L-valued upper/lower fuzzy transformation system there exist an L-valued reflexive approximation space and vice versa. In between, we study the concept of L-valued natural transformations.

Copyright
© 2020 The Authors. Published by Atlantis Press B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
13 - 1
Pages
1464 - 1472
Publication Date
2020/09/14
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.d.200904.001How to use a DOI?
Copyright
© 2020 The Authors. Published by Atlantis Press B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Sutapa Mahato
AU  - S.P. Tiwari
PY  - 2020
DA  - 2020/09/14
TI  - On Relationship between L-valued Approximation Spaces and L-valued Transformation Systems
JO  - International Journal of Computational Intelligence Systems
SP  - 1464
EP  - 1472
VL  - 13
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.200904.001
DO  - 10.2991/ijcis.d.200904.001
ID  - Mahato2020
ER  -