Personalized Linguistic Information: A Framework of Granular Computing
Francisco Javier Cabrerizo, Juan Antonio Morente-Molinera, Sergio Alonso, Raquel Ureña, Enrique Herrera-Viedma
Francisco Javier Cabrerizo
Available Online August 2019.
- https://doi.org/10.2991/eusflat-19.2019.43How to use a DOI?
- Group decision making Linguistic information Granular computing
- 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
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - https://doi.org/10.2991/eusflat-19.2019.43 ID - Cabrerizo2019/08 ER -