Linguistic Aggregation Functions using the MapReduce Paradigm

  1. Conde-Clemente, Patricia
  2. Trivino, Gracian
  3. Alonso, José M.
Actas:
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology

ISSN: 1951-6851

Ano de publicación: 2015

Tipo: Achega congreso

DOI: 10.2991/IFSA-EUSFLAT-15.2015.98 WoS: WOS:000358581100098 GOOGLE SCHOLAR

Resumo

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.