Computing distances between decision makers using hesitant fuzzy linguistic makers using hesitant fuzzy linguistic term sets
Visualitza/Obre
10.3233/978-1-61499-578-4-71
Inclou dades d'ús des de 2022
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hdl:2117/84842
Tipus de documentComunicació de congrés
Data publicació2015
Condicions d'accésAccés obert
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continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
Given a finite totally ordered set of linguistic terms, the operations intersection and connected union provide a lattice structure to the set of hesitant fuzzy linguistic term sets. In this framework, hesitant fuzzy linguistic descriptions of a given set of alternatives are considered. A distance between hesitant fuzzy linguistic descriptions is introduced based on the properties of the lattice. This metric structure allows distances between decision makers to be computed. A centroid or
group representative is defined in group decision-making processes where decisión makers are assessing different alternatives by means of hesitant fuzzy linguistic term sets.
CitacióAgell, N., Sanchez, M., Prats, F., Ruiz, F. Computing distances between decision makers using hesitant fuzzy linguistic makers using hesitant fuzzy linguistic term sets. A: International Conference of the Catalan Association for Artificial Intelligence. "Artificial Intelligence Research and Development: Proceedings of the 18th International Conference of the Catalan Association for Artificial Intelligence". Valencia: 2015, p. 71-79.
ISBN978-1-61499-578-4
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Age2015_CCIA_def.pdf | 104,8Kb | Visualitza/Obre |