2024-03-28T12:16:17Zhttps://gredos.usal.es/oai/requestoai:gredos.usal.es:10366/1330342022-02-07T17:18:12Zcom_10366_143090com_10366_123103com_10366_3823com_10366_4283com_10366_4200com_10366_3946com_10366_4756com_10366_4746col_10366_143132col_10366_4291col_10366_68519
Andrés Calle, Rocío de
Rodríguez Alcantud, José Carlos
González Arteaga, María Teresa
2017-05-11T08:15:13Z
2017-05-11T08:15:13Z
2016-11
http://hdl.handle.net/10366/133034
10.14201/gredos.133034
[EN] The general objective of this doctoral thesis is to develop novel approaches
for measuring cohesiveness / consensus and for accomplishing social consensus
solutions in group decision making problems. In this line, this thesis expects to
broaden the scope of the traditional and related methodologies. These general issues are then addressed in the three following contributions.
In the first contribution, the problem of measuring the degree of consensus/
dissensus in a context where experts or agents express their opinions on
alternatives or issues by means of cardinal evaluations is studied. The assumption
of considering cardinal evaluations to measure the cohesiveness had not
been previously examined in literature. To this end, a new class of distance-based
consensus methods, the family of the Mahalanobis dissensus measures for profiles
of cardinal values is proposed. The main advantage of this proposal is that it takes
into account the effects of differences in scale and possible interrelated issues.
Moreover, some meaningful properties of the Mahalanobis dissensus measures are
set forth. Finally, an application over a real empirical example is presented and
discussed.
In the second contribution, a new approach to the measurement of consensus
based on the Pearson correlation coeffcient is studied under the assumption of
experts' opinions modelled via reciprocal preference relations. The new correlation
consensus degree measures the concordance between the intensities of preference
for pairs of alternatives. Although a detailed study of the formal properties of
the new correlation consensus degree shows that it verifies relevant and desirable
properties common either to distance or to similarity functions, it is also proved
that it is different to traditional consensus measures. In order to emphasise the
novelty of our work, an application to Clinical Decision-Making realm is presented.
In the third contribution, three basic essentials are addressed: the management
of experts' opinions when they are expressed by ordinal information; the measurement
of the degree of dissensus among such opinions; and the achievement of a
group solution that conveys the minimum dissensus to the experts' group. Accordingly,
a new procedure to codify ordinal information is characterised. Likewise,
a new measurement of the degree of dissensus among individual preferences based
on the Mahalanobis distance is designed in such a way that it is especially
indicated for the case of possibly correlated alternatives. Finally, a procedure to
obtain a social consensus solution, that also includes the possibility of alternatives
that are correlated, is investigated. In addition, we examine the main traits of the
dissensus measurement as well as the social solution proposed. The operational
character and intuitive interpretation of these approaches are illustrated by an
explanatory example.
117 p.
application/pdf
Inglés
eng
Adobe Acrobat
Attribution-NonCommercial-NoDerivs 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
Tesis y disertaciones académicas
Universidad de Salamanca (España)
Tesis Doctoral
Academic dissertations
Teoría y procesos de decisión
Cohesiveness in group decision makin problems: its measurement and its achievement
info:eu-repo/semantics/doctoralThesis