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
- 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.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
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 - 10.2991/ifsa-eusflat-15.2015.98 ID - Conde-Clemente2015/06 ER -