Abstract
Since Arrow’s celebrated impossibility theorem, axiomatic consensus theory has been extensively studied. Here we are interested in implications between axiomatic properties and consensus functions on a profile of hierarchies. Such implications are systematically investigated using Formal Concept Analysis. All possible consensus functions are automatically generated on a set of hierarchies derived from a fixed set of taxa. The list of implications is presented and discussed.
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References
Adams, E. N., III. (1972). Consensus techniques and the comparison of taxonomic trees. Systematic Zoology, 21, 390–397.
Adams, E. N., III. (1986). N-trees as nestings: complexity, similarity, and consensus. Journal of Classification, 3, 299–317.
Arrow, K. J. (1951). Social choice and individual values. New York: Wiley.
Bandelt, H.-J., & Dress, A. (1989). Weak hierarchies associated with similarity measures: an additive clustering technique. Bulletin of Mathematical Biology, 51, 133–166.
Barbut, M., & Monjardet, B. (1970). Ordres et classification: algèbre et combinatoire (tome II). Paris: Hachette.
Barthélemy, J.-P., McMorris, F. R., & Powers, R. C. (1992). Dictatorial consensus functions on n-trees. Mathematical Social Sciences, 25, 59–64.
Bertrand, P. (2000). Set systems and dissimilarities. European Journal of Combinatorics, 21, 727–743.
Bertrand, P., & Diday, E. (1985). A visual representation of compatibility between an order and a dissimilarity index: the pyramids. Computer Statistics Quarterly, 2, 31–44.
Birkhoff, G. (1967). Lattice theory (3rd ed.). Providence: American Mathematical Society.
Bremer, K. (1990). Combinable component consensus. Cladistics, 6, 369–372.
Bryant, D. (2003). A classification of consensus methods for phylogenetics. In M. Janowitz, F. J. Lapointe, F. McMorris, B. Mirkin, & F. Roberts (Eds.), Bioconsensus, DIMACS (pp. 163–184). Providence: DIMACS-AMS.
Colonius, H., & Schulze, H.-H. (1981). Tree structure for proximity Data. British Journal of Mathematical and Statistical Psychology, 34, 167–180.
Day, W. H. E., & McMorris, F. R. (2003). Axiomatic consensus theory in group choice and biomathematics. Philadelphia: Siam.
Davey, B. A., & Priestley, H. A. (2002). Introduction to lattices and order (2nd ed.). Cambridge: Cambridge University Press.
Degnan, J. H., DeGiorgio, M., Bryant, D., & Rosenberg, N. A. (2009). Properties of consensus methods for inferring species trees from gene trees. Systems Biology, 58, 35–54.
Dong, J., Fernández-Baca, D., McMorris, F. R., & Powers, R. C. (2011). An axiomatic study of majority-rule ( + ) and associated consensus functions on hierarchies. Discrete Applied Mathematics, 159, 2038–2044.
Felsenstein, J. (1978). The number of evolutionary trees. Systematic Zoology, 27, 27–33.
Ganter, B., & Wille, R. (1996). Formal concept analysis: mathematical foundations. Heidelberg: Springer.
Guigues, J.-L., & Duquenne, V. (1986). Familles minimales d’implications informatives résultant d’un tableau de données binaires. Mathématiques et Sciences Humaines, 95, 5–18.
Hudry, O., & Monjardet, B. (2010). Consensus theories. An oriented survey. Mathématiques et Sciences Humaines, 190, 139–167.
Margush, T., & McMorris, F. R. (1981). Consensus n-trees. Bulletin of Mathematical Biology, 43, 239–244.
May, K. O. (1952). A set of independent necessary and sufficient conditions for simple majority decision. Econometrica, 20, 680–684.
Nelson, G. (1979). Cladistic analysis and synthesis: principles and definitions, with a historical note on adanson’s famille des plantes (1763–1764). Systematic Zoology, 28, 1–21.
Neumann, D. A. (1983). Faithful consensus methods for n-trees. Mathematical Biosciences, 63, 271–287.
Page, R. D. M. (1990). Tracks and trees in the antipodes: a reply to humphries and seberg. Systematic Zoology, 39, 288–299.
Phillips, C., & Warnow, T. J. (1996). The aymmetric median tree – a new model for building consensus trees. Discrete Applied Mathematics, 71, 311–335.
Powers, R. C., & White, J. M. (2008). Wilson’s theorem for consensus functions on hierarchies. Discrete Applied Mathematics, 156, 1321–1329.
Semple, M., & Steel, C. (2000). A supertree method for rooted trees. Discrete Applied Mathematics, 105, 147–158.
Yevtushenko, S. A. (2000). System of data analysis “Concept Explorer”. In Proceedings of the 7th national conference on Artificial Intelligence KII-2000, Russia, (pp. 127–134).
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The authors would like to thank the referees for their useful comments and references.
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Domenach, F., Tayari, A. (2013). Implications of Axiomatic Consensus Properties. In: Lausen, B., Van den Poel, D., Ultsch, A. (eds) Algorithms from and for Nature and Life. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Cham. https://doi.org/10.1007/978-3-319-00035-0_5
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DOI: https://doi.org/10.1007/978-3-319-00035-0_5
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