8-9 October 2020 • Burgas, Bulgaria

Submission: 15 May 2020 • Notification: 31 May 2020 • Final Version: 15 June 2020

Issue:Big data, intuitionistic fuzzy sets and MapReduce operators

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http://ifigenia.org/wiki/issue:nifs/24/2/129-135
Title of paper: Big data, intuitionistic fuzzy sets and MapReduce operators
Author(s):
Panagiotis Chountas
University of Westminster Faculty of Science and Technology, Dept. of Computer Science, London W1W 6UW, UK
p.i.chountasAt sign.pngwestminster.ac.uk
Krassimir Atanassov
Bulgarian Academy of Sciences, Institute of Biophysics and Biomedical Engineering, Dept. of Bioinformatics and Mathematical Modelling, Sofia, Bulgaria
kratAt sign.pngbas.bg
Vassia Atanassova
Bulgarian Academy of Sciences, Institute of Biophysics and Biomedical Engineering, Dept. of Bioinformatics and Mathematical Modelling, Sofia, Bulgaria
vassia.atanassovaAt sign.pnggmail.com
Evdokia Sotirova
Prof. Dr. Asen Zlatarov University, Intelligent Systems Laboratory, Burgas, Bulgaria
esotirovaAt sign.pngbtu.bg
Sotir Sotirov
Prof. Dr. Asen Zlatarov University, Intelligent Systems Laboratory, Burgas, Bulgaria
ssotirovAt sign.pngbtu.bg
Olympia Roeva
Bulgarian Academy of Sciences, Institute of Biophysics and Biomedical Engineering, Dept. of Bioinformatics and Mathematical Modelling, Sofia, Bulgaria
olympiaAt sign.pngbiomed.bas.bg
Published in: Notes on Intuitionistic Fuzzy Sets, Volume 24 (2018), Number 2, pages 129-135
DOI: https://doi.org/10.7546/nifs.2018.24.2.129-135
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Abstract: One of the main restrictions of the relational data model is the lack of support for flexible, imprecise and vague information in data encoding and retrieval. Fuzzy set theory and more specifically intuitionistic fuzzy sets provides an effective solution to model the data imprecision in relational databases. Several works in the last 30 years have used fuzzy set theory to extend relational data model to permit representation and retrieval of imprecise data. However, to the best of our knowledge, such approaches have not been designed to scale-up to very large datasets. In this paper, we develop MapReduce algorithms to enhance the standard relational operations with IFS predicates.
Keywords: Intuitionistic fuzzy sets, Big data, MapReduce
AMS Classification: 03E72
References:
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