A Fuzzy Colour Model Sensitive to the Context: Study Cases Using PRAGR and Logics

  • Zoe Falomir
  • Luis Gonzalez-Abril
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10571)


A fuzzy colour model is defined to deal with human-machine communication situations where perceptual and conceptual deviations can appear. Logics have been defined to combine this model with the Probabilistic Reference And GRounding mechanism (PRAGR) (Mast and Wolter 2013) in order to obtain the most acceptable and appropriate colour descriptor depending on the situation. Two case studies are presented and promising results are obtained.



This work was funded by the project Cognitive Qualitative Descriptions and Applications (CogQDA) at Universität Bremen. This research is partially supported by the projects of the Spanish Ministry of Economy and Competitiveness HERMES (TIN2013-46801-C4-1-R) and Simon (TIC-8052) of the Andalusian Regional Ministry of Economy, Innovation and Science. The authors also thank Vivien Mast for the use cases appearing in this paper.


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.University of BremenBremenGermany
  2. 2.Universidad de SevillaSevillaSpain

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