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Linguistic multi-criteria decision-making model with output variable expressive richness

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Cid Lopez, Andrés and Hornos, Miguel J. and Carrasco González, Ramón Alberto and Herrera Viedma, Enrique and Chiclana, Francisco (2017) Linguistic multi-criteria decision-making model with output variable expressive richness. Expert Systems with Applications, 83 . pp. 350-362. ISSN 0957-4174

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Official URL: http://dx.doi.org/10.1016/j.eswa.2017.04.049



Abstract

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 measures — such 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 notation— and 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.


Item Type:Article
Uncontrolled Keywords:Multi-criteria decision-making; Linguistic labels; Variable expressive richness; 2-tuple representation; Linguistic TOPSIS model.
Subjects:Sciences > Mathematics > Set theory
Sciences > Mathematics > Bayesian statistical decision theory
Humanities > Philology > Linguistics
ID Code:57348
Deposited On:14 Oct 2019 12:32
Last Modified:14 Oct 2019 13:49

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