Feature selection for situation recognition in Fuzzy SOM-based Case-based Reasoning

  title={Feature selection for situation recognition in Fuzzy SOM-based Case-based Reasoning},
  author={Arezoo Sarkheyli and Dirk Soffker},
  journal={2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)},
Case-based Reasoning (CBR) is a problem solving approach applied to different cognitive systems for planning, decision making, etc. This approach benefits/utilizes the solutions of previous similar problems for solving a new problem. Situation recognition as an important process in CBR provides knowledge about actual problem including the situation of system. The system's situation defined with a set of characteristics/features, models the scene and illustrates an internal structure of the… CONTINUE READING
2 Citations
18 References
Similar Papers


Publications citing this paper.


Publications referenced by this paper.
Showing 1-10 of 18 references

Case indexing in Case-Based Reasoning by applying Situation-Operator Model as knowledge representation model

  • A. Sarkheyli, D. Söffker
  • IFAC-PapersOnLine, 48(1), 81-86
  • 2015
Highly Influential
3 Excerpts

Intelligent Memory Allocation based on Fuzzy Logic

  • A. H. Selman, A. Aburas, S. Selman
  • South East Europe Journal of Soft Computing, 3(1)
  • 2014

and P

  • P. De Loor, R. Benard
  • Chevaillier
  • 2011
1 Excerpt

Similar Papers

Loading similar papers…