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Fuzzy Support Systems for Discretionary Judicial Decision Making

  • Conference paper
Knowledge-Based Intelligent Information and Engineering Systems (KES 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2774))

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Abstract

Judicial decision making is a very complex decision process because of the variability, flexibility and discretion that characterize it and the numerous factors affecting the results. To aid sentencing decision making, we propose an Intelligent Decision Making Support System based on case based reasoning and fuzzy logic. As an example, in this paper we present a system for abandonment assessment in divorce cases, developed at the Intelligent Systems Laboratory of the National Autonomous University of Mexico.

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Author information

Authors and Affiliations

  1. Cybernetics Laboratory, Centre of Applied Sciences and Technological Development,  

    Felipe Lara-Rosano

  2. Graduate Department, Faculty of Law, National Autonomous University of Mexico,  

    María del Socorro Téllez-Silva

Authors
  1. Felipe Lara-Rosano
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  2. María del Socorro Téllez-Silva
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Editor information

Editors and Affiliations

  1. Computing Laboratory, Oxford University, Parks Road, OXI 3QD, Oxford, United Kingdom

    Vasile Palade

  2. Centre for SMART Systems, School of Environment and Technology, University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. Knowledge-Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, SA 5095, Adelaide, Australia

    Lakhmi Jain

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© 2003 Springer-Verlag Berlin Heidelberg

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Lara-Rosano, F., del Socorro Téllez-Silva, M. (2003). Fuzzy Support Systems for Discretionary Judicial Decision Making. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2774. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45226-3_14

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  • DOI: https://doi.org/10.1007/978-3-540-45226-3_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40804-8

  • Online ISBN: 978-3-540-45226-3

  • eBook Packages: Springer Book Archive

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