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MCDA and LCSA—A Note on the Aggregation of Preferences

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Book cover Knowledge, Information and Creativity Support Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 416))

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Abstract

Cost and social dimensions are now being added to the existing environmental Life Cycle Assessment (LCA), leading to Life Cycle Sustainability Assessment (LCSA). LCSA is very complex with deep uncertainties and, generally, involves several stakeholders. Therefore, the analysis and interpretation of the outputs of LCSA is a difficult and complex task, requiring aggregation of preferences. The work in progress here presented deals with a study regarding the use of open exchange interactive software packages dedicated to Multi-criteria decision aiding in the context of LCSA output analysis and interpretation.

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Author information

Authors and Affiliations

  1. INESCC, Universidade de Coimbra, Rua Antero de Quental, 3000, Coimbra, Portugal

    João Carlos Namorado Clímaco

  2. SAGE/COPPE, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil

    Rogerio Valle

Authors
  1. João Carlos Namorado Clímaco
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  2. Rogerio Valle
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Corresponding author

Correspondence to João Carlos Namorado Clímaco .

Editor information

Editors and Affiliations

  1. and Technology, JAIST - Japan Advanced Institute for Sci, Kanazawa, Japan

    Susumu Kunifuji

  2. Dept of Computer Science, University of Cyprus, Nicosia, Cyprus

    George Angelos Papadopoulos

  3. Dept. of Automatic Control & Biom. Eng., AGH University of Science and Technology, Kraków, Poland

    Andrzej M.J. Skulimowski

  4. Systems Res Inst, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk  

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Clímaco, J.C.N., Valle, R. (2016). MCDA and LCSA—A Note on the Aggregation of Preferences. In: Kunifuji, S., Papadopoulos, G., Skulimowski, A., Kacprzyk  , J. (eds) Knowledge, Information and Creativity Support Systems. Advances in Intelligent Systems and Computing, vol 416. Springer, Cham. https://doi.org/10.1007/978-3-319-27478-2_8

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  • DOI: https://doi.org/10.1007/978-3-319-27478-2_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27477-5

  • Online ISBN: 978-3-319-27478-2

  • eBook Packages: EngineeringEngineering (R0)

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