Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology

Linguistic Aggregation Functions using the MapReduce Paradigm

Authors
Patricia Conde-Clemente, Gracian Trivino, José M. Alonso
Corresponding Author
Patricia Conde-Clemente
Available Online June 2015.
DOI
https://doi.org/10.2991/ifsa-eusflat-15.2015.98How to use a DOI?
Keywords
Big data, computing with perceptions, fuzzy logic.
Abstract
We explore the possible benefit that provides a linguistic approach to Big Data. The proposal illustrates how implement Linguistic Aggregation Functions using the MapReduce paradigm. The best known paradigm applied to Big Data. The proposal allows several benefits to Big Data e.g., it allows to interpret data in a more intuitive way, reduce data size into different levels of granularity, and manage the imprecision and incompleteness of data. We show the usefulness of the proposed approach with an illustrative example.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Patricia Conde-Clemente
AU  - Gracian Trivino
AU  - José M. Alonso
PY  - 2015/06
DA  - 2015/06
TI  - Linguistic Aggregation Functions using the MapReduce Paradigm
BT  - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 690
EP  - 696
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.98
DO  - https://doi.org/10.2991/ifsa-eusflat-15.2015.98
ID  - Conde-Clemente2015/06
ER  -