Compact Preference Representation via Fuzzy Constraints in Stable Matching Problems

  • Maria Silvia PiniEmail author
  • Francesca Rossi
  • Kristen Brent Venable
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10576)


We define a framework for stable matching problems where agents are allowed to express their preferences in a compact way, via fuzzy constraints over the features describing the agents of the other group. We provide a solving engine for this new kind of stable matching problems that does not increase the time complexity of the classical GS algorithm, while maintaining stability of the matching returned. We then evaluate the approach experimentally.


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Maria Silvia Pini
    • 1
    Email author
  • Francesca Rossi
    • 2
  • Kristen Brent Venable
    • 3
  1. 1.University of PadovaPaduaItaly
  2. 2.IBM T.J. Watson Research CenterYorktown HeightsUSA
  3. 3.IHMCTulane UniversityNew OrleansUSA

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