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      <subfield code="a">Gómez González, Daniel</subfield>
      <subfield code="e">author</subfield>
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      <subfield code="a">Montero De Juan, Francisco Javier</subfield>
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   <datafield ind2=" " ind1=" " tag="720">
      <subfield code="a">Yáñez Gestoso, Francisco Javier</subfield>
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   <datafield ind2=" " ind1=" " tag="260">
      <subfield code="c">2007</subfield>
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      <subfield code="a">In this paper we address the problem of inconsistency in preference relations, pointing out the relevance of a meaningful representation in order to help decision maker to capture such inconsistencies. Dimension theory framework, despite its computational complexity, is considered here, pursuing in principle a decomposition of arbitrary preference relations in terms of linear orderings of alternatives. But we shall then stress that consistency should not be necessarily associated to a linear ordering. In this way, alternative decompositions of a preference relation can be proposed to decision maker, allowing an effective search for a useful representations of alternatives in terms of possible criteria. Such decompositions of our preference relations will then become the basis of a future decision aid model, always with the restricted aim of allowing the decision maker a better understanding of the problem. Inconsistencies may be not simply suppressed but understood, since they may contain relevant information.</subfield>
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      <subfield code="a">978-1-4244-1209-9</subfield>
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      <subfield code="a">https://hdl.handle.net/20.500.14352/53163</subfield>
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      <subfield code="a">https://ieeexplore.ieee.org/document/4295546/</subfield>
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      <subfield code="a">http://ieeexplore.ieee.org</subfield>
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   <datafield ind2="0" ind1="0" tag="245">
      <subfield code="a">Decomposing preference relations</subfield>
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