Personalized Linguistic Information: A Framework of Granular Computing

DOI

10.2991/eusflat-19.2019.43How to use a DOI?

Keywords

Group decision making Linguistic information Granular computing

Abstract

In group decision making, the usage of linguistic information entails the requirement for computing with words, a methodology in which words from a natural language are the computational elements. Recently, a new approach based on a framework of granular computing has been applied to cope with linguistic information. Its advantage is that the distribution and the semantics of the linguistic values that represent the words, in place of being defined a priori, are established as defined by the optimization of a given optimization criterion. Once they have been obtained, the distribution and the semantics of the linguistic values are the same for all de decision makers involved in the decision problem. However, as a word means a different thing to different people, we present in this contribution a new approach that is able to obtain personalized linguistic values

Copyright

© 2019, 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/).

Download article (PDF)

TY  - CONF
AU  - Francisco Javier Cabrerizo
AU  - Juan Antonio Morente-Molinera
AU  - Sergio Alonso
AU  - Raquel Ureña
AU  - Enrique Herrera-Viedma
PY  - 2019/08
DA  - 2019/08
TI  - Personalized Linguistic Information: A Framework of Granular Computing
BT  - Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019)
PB  - Atlantis Press
SP  - 297
EP  - 304
SN  - 2589-6644
UR  - https://doi.org/10.2991/eusflat-19.2019.43
DO  - 10.2991/eusflat-19.2019.43
ID  - Cabrerizo2019/08
ER  -