Labeled Fuzzy Rough Sets Versus Fuzzy Flow Graphs

Leszek Rolka, Alicja Mieszkowicz-Rolka

Abstract

This paper presents the idea of labeled fuzzy rough sets which constitutes a novel approach to rough approximation of fuzzy information systems. The labeled fuzzy rough sets approach is compared with the fuzzy flow graph approach. The standard definition of fuzzy rough sets is based on comparing the elements of a universe by using a fuzzy similarity relation. This is a complex task, especially in the case of large universes. The idea of labeled fuzzy rough sets consists in comparison of elements of the universe to some ideals represented by linguistic values of attributes. Every element of the universe can be bound up with a linguistic label. Fuzzy rough approximations of any fuzzy set are obtained by describing its elements with the help of characteristic elements of linguistic labels. In this paper, new parameterized notions of the positive, boundary, and negative linguistic values are introduced.

References

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Paper Citation


in Harvard Style

Rolka L. and Mieszkowicz-Rolka A. (2016). Labeled Fuzzy Rough Sets Versus Fuzzy Flow Graphs . In Proceedings of the 8th International Joint Conference on Computational Intelligence - Volume 2: FCTA, (IJCCI 2016) ISBN 978-989-758-201-1, pages 115-120. DOI: 10.5220/0006083301150120


in Bibtex Style

@conference{fcta16,
author={Leszek Rolka and Alicja Mieszkowicz-Rolka},
title={Labeled Fuzzy Rough Sets Versus Fuzzy Flow Graphs},
booktitle={Proceedings of the 8th International Joint Conference on Computational Intelligence - Volume 2: FCTA, (IJCCI 2016)},
year={2016},
pages={115-120},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006083301150120},
isbn={978-989-758-201-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 8th International Joint Conference on Computational Intelligence - Volume 2: FCTA, (IJCCI 2016)
TI - Labeled Fuzzy Rough Sets Versus Fuzzy Flow Graphs
SN - 978-989-758-201-1
AU - Rolka L.
AU - Mieszkowicz-Rolka A.
PY - 2016
SP - 115
EP - 120
DO - 10.5220/0006083301150120