A Linguistic Approach to Multi-criteria and Multi-expert Sensory Analysis

García-Lapresta, José Luis; Santamarta, Sara; Castro, Santiago de

doi:10.1007/978-3-319-08855-6_59

Cited by 4 publications

(3 citation statements)

References 12 publications

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“…As described with more detail in García-Lapresta et al [1], the proposed use of qualitative rankings and scorings based on linguistic expressions, their numerical representation by means of the geodesic distance plus a penalization of imprecision, as well as the subsequent method of aggregation just described in Proposition 10, have actually been tested in a field experiment carried out in Trigo restaurant in Valladolid, Spain (30 November 2013), under appropriate conditions of temperature, light and service.…”

Section: A Field Experimentsmentioning

confidence: 99%

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Assigning Numerical Scores to Linguistic Expressions

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In this paper, we study different methods of scoring linguistic expressions defined on a finite set, in the search for a linear order that ranks all those possible expressions. Among them, particular attention is paid to the canonical extension, and its representability through distances in a graph plus some suitable penalization of imprecision. The relationship between this setting and the classical problems of numerical representability of orderings, as well as extension of orderings from a set to a superset is also explored. Finally, aggregation procedures of qualitative rankings and scorings are also analyzed.

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Section: A Field Experimentsmentioning

confidence: 99%

“…, g}. In this situation, namely when L is given a linear order, the use of a scoring function taking values on L or an equivalent numerical scoring function is, perhaps, a matter of taste (see García-Lapresta et al [1]).…”

Section: Introductionmentioning

confidence: 99%

Assigning Numerical Scores to Linguistic Expressions

Campión

Falcó

García-Lapresta

et al. 2017

Axioms

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“…However, in some situations agents, even experts assessing alternatives within their field of expertise may have doubts about which feasible linguistic term would assign to an alternative (see Agell et al [2] and García-Lapresta et al [16]). For this reason, it is interesting to allow the agents to judge in a more imprecise way, giving them the option of assigning several linguistic terms 1 .…”

Section: Introductionmentioning

confidence: 99%