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International Conference on Modeling Decisions for Artificial Intelligence

MDAI 2014: Modeling Decisions for Artificial Intelligence pp 50–59Cite as

Single-Preference Consensus Measures Based on Models of Ecological Evenness

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8825))

Abstract

We investigate the relationship between consensus measures used in different settings depending on how voters or experts express their preferences. We propose some new models for single-preference voting, which we derive from the evenness concept in ecology, and show that some of these can be placed within the framework of existing consensus measures using the discrete distance. Finally, we suggest some generalizations of the single-preference consensus measures allowing the incorporation of more general notions of distance.

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Author information

Authors and Affiliations

  1. School of Information Technology, Deakin University, 221 Burwood Hwy, Burwood, 3125, Australia

    Gleb Beliakov, Simon James & Laura Smith

Authors
  1. Gleb Beliakov
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  2. Simon James
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  3. Laura Smith
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Editor information

Editors and Affiliations

  1. CSIC, Consejo Superior de Investigaciones Cientificas, 08193, Bellaterra, Spain

    Vicenç Torra

  2. Toho Gakuen, 186-0004, Tokyo, Japan

    Yasuo Narukawa

  3. Faculty of Engineering, Information and Systems, University of Tsukuba, 305-8573, Tsukuba, Ibaraki, Japan

    Yasunori Endo

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Beliakov, G., James, S., Smith, L. (2014). Single-Preference Consensus Measures Based on Models of Ecological Evenness. In: Torra, V., Narukawa, Y., Endo, Y. (eds) Modeling Decisions for Artificial Intelligence. MDAI 2014. Lecture Notes in Computer Science(), vol 8825. Springer, Cham. https://doi.org/10.1007/978-3-319-12054-6_5

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  • DOI: https://doi.org/10.1007/978-3-319-12054-6_5

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12053-9

  • Online ISBN: 978-3-319-12054-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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