Rough Real Functions and Intuitionistic L-fuzziness

Zoltán Csajbók

2022

Abstract

This work has been motivated by developing tools to manage rough real functions. Rough real function is a real function attached to a special Cartesian coordinate system. Its values are categorized via the x and y axes. Some papers establish a connection between the rough real functions and the intuitionistic fuzzy sets to achieve the set goal. Until now, rough real functions could only take values from the unit interval. This paper presents the possible extension of the previous methods to more realistic rough real functions. However, care must be taken to ensure that the selected tools are semantically consistent with the nature of the rough real functions.

Paper Citation

in Harvard Style

Csajbók Z. (2022). Rough Real Functions and Intuitionistic L-fuzziness. In Proceedings of the 14th International Joint Conference on Computational Intelligence (IJCCI 2022) - Volume 1: FCTA; ISBN 978-989-758-611-8, SciTePress, pages 183-190. DOI: 10.5220/0011553100003332

in Bibtex Style

@conference{fcta22,
author={Zoltán Csajbók},
title={Rough Real Functions and Intuitionistic L-fuzziness},
booktitle={Proceedings of the 14th International Joint Conference on Computational Intelligence (IJCCI 2022) - Volume 1: FCTA},
year={2022},
pages={183-190},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011553100003332},
isbn={978-989-758-611-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computational Intelligence (IJCCI 2022) - Volume 1: FCTA
TI - Rough Real Functions and Intuitionistic L-fuzziness
SN - 978-989-758-611-8
AU - Csajbók Z.
PY - 2022
SP - 183
EP - 190
DO - 10.5220/0011553100003332
PB - SciTePress