id: 05243435
dt: a
an: 05243435
au: Owsiński, Jan W.
ti: Group opinion structure: the ideal structures, their relevance, and
    effective use.
so: Baier, Daniel (ed.) et al., Innovations in classification, data science,
    and information systems. Proceedings of the 27th annual conference of
    the Gesellschaft für Klassifikation e. V., Cottbus, Germany, March
    12‒14, 2003. Berlin: Springer (ISBN 3-540-23221-4/pbk). Studies in
    Classification, Data Analysis, and Knowledge Organization, 471-481
    (2005).
py: 2005
pu: Berlin: Springer
la: EN
cc: 
ut: 
ci: 
li: doi:10.1007/3-540-26981-9_54
ab: Summary: One is often interested in the “behind-the-scenes” of a group
    decision. This interest may refer to knowing whether the “vote”
    distribution’s mode coincides with the outcome, determining the
    structure of the set of opinions (any “blocks of votes”?), or
    finding the biggest subgroup of (relatively) consistent opinions. The
    potential uncovered structures may take the form of “ideal” or
    “perfect” structures, and their derivatives, which may be of a far
    broader significance than just for the group decision making. They may
    also shed light on the definitions of such basic notions as
    “consensus”. The paper presents several conditions to be fulfilled
    by such structures, in decreasing order of strength, and their
    properties, with a perspective on potential determination and
    applications. In addition, the conditions presented are “positive
    cluster definitions” of non-probabilistic character.
rv: