Name
Title | ||
|---|---|---|
Linguistic multi-criteria decision-making model with output variable expressive richness. |
Abstract | ||
|---|---|---|
Proposal to improve the expressive richness of any decision-making model results.It provides decision makers with more precise and intuitive outcomes.The model is validated by applying it to several real case studies in ICT sector.The results obtained are shown and compared with the ones got with other models.The main advantages of applying this model are presented. In general, traditional decision-making models are based on methods that perform calculations on quantitative measures. These methods are usually applied to assess possible solutions to a problem, resulting in a ranking of alternatives. However, when it comes to making decisions about qualitative measuressuch as service quality, the quantitative assessment is a bit difficult to interpret. Therefore, taking into account the maturity of the linguistic assessment models, this paper puts forth a new solution proposal. It is a decision-making model that uses linguistic labels represented with the 2-tuple notationand a variable expressive richness when providing output results. This solution allows expressing results in a manner closer to the human cognitive system. To achieve this goal, a mechanism has been implemented for measuring the distance among the aggregate ratings, providing the decision-maker with a fast and intuitive answer. The proposal is illustrated with an application example based on the TOPSIS model, using linguistic labels throughout the entire process. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.eswa.2017.04.049 | Expert Syst. Appl. |
Keywords | Field | DocType |
Multi-criteria decision-making,Linguistic labels,Variable expressive richness,2-tuple representation,Linguistic TOPSIS model | Decision-making models,Species richness,Service quality,Ranking,Computer science,Cognitive systems,Artificial intelligence,Information and Communications Technology,Quantitative assessment,TOPSIS,Linguistics,Machine learning | Journal |
Volume | Issue | ISSN |
83 | C | 0957-4174 |
Citations | PageRank | References |
4 | 0.38 | 20 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andres Cid-López | 1 | 12 | 1.17 |
| Miguel J. Hornos | 2 | 101 | 14.77 |
| Ramón Alberto Carrasco | 3 | 78 | 10.67 |
| Enrique Herrera-Viedma | 4 | 13105 | 642.24 |
| Francisco Chiclana | 5 | 6350 | 284.13 |