The LTOPSIS: An alternative to TOPSIS decision-making approach for linguistic variables

  • Authors:

  • Elio Cables;M. Socorro García-Cascales;M. Teresa Lamata

  • Affiliations:

  • Dpto. Informática, Universidad de Holguín, Oscar Lucero Moya, Holguín, Cuba;Dpto. Ciencias de la Computación e Inteligencia Artificial, Universidad de Granada, 18071 Granada, Spain;Dpto. de Electrónica, Tecnología de Computadoras y Proyectos, Universidad Politécnica de Cartagena, Murcia, Spain

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2012

Quantified Score

Hi-index 12.05

Visualization

Abstract

This paper develops an evaluation approach based on the Technique for Order Performance by Similarity to Ideal Solution (TOPSIS). When the input for a decision process is linguistic, it can be understood that the output should also be linguistic. For that reason, in this paper we propose a modification of the TOPSIS algorithm which develops the above idea and which can also be used as a linguistic classifier. In this new development, modifications to the classic algorithm have been considered which enable linguistic outputs and which can be checked through the inclusion of an applied example to demonstrate the goodness of the new model proposed.