Abstract
Evaluation of alternatives may be derived from probabilistic comparisons made with different sets of profiles which represent ordered classes. This may be used to solve the problem of, instead of choosing the best or worst alternative, identifying alternatives that correspond to each of a set of different levels of performance.
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References
Almeida-Dias, J., Figueira, J. R., & Roy, B. (2010). ELECTRE TRI-C: a multiple criteria sorting method based on characteristic reference actions. European Journal of Operational Research, 204(3), 565–580.
Almeida-Dias, J., Figueira, J. R., & Roy, B. (2012). A multiple criteria sorting method where each category is characterized by several reference actions: the ELECTRE TRI-nC method. European Journal of Operational Research, 217(3), 567–579.
Calinski, T., & Harabasz, J. (1974). A Dendrite method for cluster analysis. Communications in Statistics, 3, 1–27.
Roy, B. (1968) Classement et choix en presence de points de vue multiples (la method ELECTRE), pp. 57–75, La Revue d’Informatique et de Recherche Opérationelle (RIRO).
Sant’Anna, A. P., Costa, H. G., & Pereira, V. (2012). CPP-TRI: um mĂ©todo de classificaĂ§Ă£o ordenada baseado em composiĂ§Ă£o probabilĂstica. RelatĂ³rios de Pesquisa em Engenharia de ProduĂ§Ă£o, 12(8), 104–117.
Yu, W. (1992). ELECTRE TRI—Aspects methodologiques et guide d’utilisation. Document du LAMSADE: Université de Paris-Dauphine, Paris.
Zadeh, L. (1965). Fuzzy Set. Information Science, 8(3), 338–353.
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Parracho Sant’Anna, A. (2015). Probabilities in the Problem of Classification. In: Probabilistic Composition of Preferences, Theory and Applications. Decision Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-11277-0_8
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DOI: https://doi.org/10.1007/978-3-319-11277-0_8
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