Implementation of computing with words in evaluating training program

The decision-making problems have attracted the attention of many researchers in a wide range of disciplines. The decision situations in which multiple individuals involved, each with their own knowledge about alternatives of the decision problem requires advanced to deal with this difficulty techni...

Full description

Autores:
Felix-Benjamín, Gerardo
Calero-Muela, Claudia
Esquivel, Renier
Bello-Pérez, Rafael
Tipo de recurso:
Article of journal
Fecha de publicación:
2015
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/60642
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/60642
http://bdigital.unal.edu.co/58974/
Palabra clave:
62 Ingeniería y operaciones afines / Engineering
Computing with words
group decision making
decision analysis
impact of training.
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
Description
Summary:The decision-making problems have attracted the attention of many researchers in a wide range of disciplines. The decision situations in which multiple individuals involved, each with their own knowledge about alternatives of the decision problem requires advanced to deal with this difficulty techniques. This work evaluates the impact of training received by a group of workers in the assessments are modeled using different kinds of information provided by different groups of experts to manage the uncertainty and subjectivity of such assessments for there to infer its relationship with the training received. Therefore, it is necessary and appropriate to establish a framework adapted to the heterogeneous nature of these criteria. Model and manage uncertainty has been successful and involves making computing processes with words hence the model 2-tuples linguistic representation is offered as a solution for their accuracy, ease of information management in complex frameworks, as to give greater interpretability of the resulting data.