Rank aggregation methods dealing with incomplete information applied to smart cities

Dopazo González, Esther y Martínez Céspedes, María Luisa (2015). Rank aggregation methods dealing with incomplete information applied to smart cities. En: "International Conference on Fuzzy Systems (FUZZ-IEEE)", 02-05 Aug 2015, Estambul, Turkía. ISBN 978-1-4673-7428-6. pp. 1-7. https://doi.org/10.1109/FUZZ-IEEE.2015.7337965.

Descripción

Título: Rank aggregation methods dealing with incomplete information applied to smart cities
Autor/es:
  • Dopazo González, Esther
  • Martínez Céspedes, María Luisa
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: International Conference on Fuzzy Systems (FUZZ-IEEE)
Fechas del Evento: 02-05 Aug 2015
Lugar del Evento: Estambul, Turkía
Título del Libro: FUZZ-IEEE 2015: IEEE International Conference on Fuzzy Systems
Fecha: 2015
ISBN: 978-1-4673-7428-6
Volumen: 1
Materias:
Palabras Clave Informales: Rank Aggregation; Incomplete Information; Fuzzy Preference Relation; Smart City
Escuela: E.T.S. de Ingenieros Informáticos (UPM)
Departamento: Lenguajes y Sistemas Informáticos e Ingeniería del Software
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

City-rankings have become a central instrument for assessing the attractiveness of urban regions over the last years. Demographic, environmental, economic, political and socio-cultural factors are forcing the urban world to design and implement Smart Cities. A set of multidimensional components underlies the fuzzy smart city concept. As a result cities are evaluated and ranked with regard to different characteristics, and smart city measures are achieved through chosen indicators. Therefore, the problem of combining multiple rankings to form an aggregate ranking, which compares city performance, is recognized as a useful tool in this context. Moreover, a usual situation is when incomplete information arises and only partial rankings may be supplied. This paper addresses the general problem of rank aggregation dealing with incomplete information based on rank aggregation methods and multicriteria decision making theory. It consists on constructing a consensus ranking from partial rankings of a set of objects provided according different criteria. Our techniques rely on outranking matrices as a way of collecting relevance information from input data, theory of fuzzy preference relations and the PageRank algorithm.

Más información

ID de Registro: 45087
Identificador DC: http://oa.upm.es/45087/
Identificador OAI: oai:oa.upm.es:45087
Identificador DOI [BETA]: 10.1109/FUZZ-IEEE.2015.7337965
URL Oficial: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7329077
Depositado por: Memoria Investigacion
Depositado el: 09 Mar 2017 13:04
Ultima Modificación: 09 Mar 2017 13:04
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