Abstract
This paper presents a method using intervals for representing and synthesizing imprecise information for multi-attribute evaluation and decision-making support. An implementation is given for selecting an alternative for a project in a real case in the context of construction in civil engineering. As a previous step to aggregate the available information, a methodology is proposed for summarizing and normalizing values in an intervals context, representing the alternatives by means of rectangles in \(\mathbb R^n\) (products of n finite closed intervals in \(\mathbb R\)). A distance is introduced in the set of rectangles, defining a total order once a reference rectangle is considered. A method is given for the choice of the best alternative based on the comparison of distances to a reference rectangle. The constraints which guarantee consistency are determined and the consistency of the method is established.
This work has been partially supported by the MCyT (Spanish Ministry of Science and Technology) projects MERITO (TIC2002-04371-C02) and MIVES (MAT2002-04310-C03-01).
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Prats, F., Sánchez, M., Agell, N., Ormazabal, G. (2006). An Evaluation Method with Imprecise Information for Multi-attribute Decision Support. In: Marín, R., Onaindía, E., Bugarín, A., Santos, J. (eds) Current Topics in Artificial Intelligence. CAEPIA 2005. Lecture Notes in Computer Science(), vol 4177. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881216_15
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DOI: https://doi.org/10.1007/11881216_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-45914-9
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