Computing with words for decision making versus linguistic decision making: A reflection on both scenarios

7Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Computing with Words (CW) methodology has been used in different environments to narrow the differences between human reasoning and computing. As decision making is a typical human mental process, it seems natural to apply the CW methodology in order to create and enrich decision models in which the information involved has a qualitative nature. There are two approaches to manage linguistic information in decision making. The first one uses a CW methodology that allows experts to elicit linguistic evaluations and obtains final results as a linguistic representation of words enriched by any kind of representation. The other one uses linguistic information as inputs together with computing processes whose outcome is a ranking of alternatives based on numerical outputs.We can summarize both approaches in the two following expressions from words to words versus from words to numerical outputs/ranking. Both scenarios will be revisited in this chapter within the context of the linguistic computational models for processing linguistic information in decision making.

Cite

CITATION STYLE

APA

Herrera, F., Herrera-Viedma, E., & Martínez, L. (2015). Computing with words for decision making versus linguistic decision making: A reflection on both scenarios. Studies in Fuzziness and Soft Computing, 322, 245–260. https://doi.org/10.1007/978-3-319-16235-5_19

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free