A case-based reasoning approach with fuzzy linguistic rules: Accuracy validation and application in interface design-support intelligent system
Ekaterina Makarova, Tatiana Vladimirovna Avdeenko, Maxim Bakaev · 2016
The paper researches novel approach towards estimating relevance between cases in case-based reasoning system. Fuzzy linguistic rules are used as a tool for representing knowledge about cases relevance. The results suggest that the proposed hybrid system employing case model and fuzzy logic can work with even a small number of cases, while yielding accurate results. We also provide an example of the model application in practice - in a dedicated design-support intelligent system. The solutions created with the system demonstrated reasonable quality in terms of usability and, to some extent, in subjective attractiveness for target users.