2022

Journal

International Journal of Fuzzy System Applications (IJFSA), 2022, vol. 11, no 1, p. 1-27.

Inference systems are a well-defined technology derived from knowledge-based systems. Their main purpose is to model and manage knowledge as well as expert reasoning to insure a relevant decision making while getting close to human induction. Although handled knowledge are usually imperfect, they may be treated using a non classical logic as fuzzy logic or symbolic multi-valued logic. Nonetheless, it is required sometimes to consider both fuzzy and symbolic multi-valued knowledge within the same knowledge-based system. For that, we propose in this paper an approach that is able to standardize fuzzy and symbolic multi-valued knowledge. We intend to convert fuzzy knowledge into symbolic type by projecting them over the Y-axis of their membership functions. Consequently, it becomes feasible working under a symbolic multi-valued context. Our approach provides to the expert more flexibility in modeling their knowledge regardless of their type. A numerical study is provided to illustrate the potential application of the proposed methodology.

@article{moussa2022unification,
  title={Unification of Imprecise Data: Translation of Fuzzy to Multi-Valued Knowledge Over Y-Axis},
  author={Moussa, Soumaya and Kacem, Saoussen Bel Hadj and Tagina, Moncef},
  journal={International Journal of Fuzzy System Applications (IJFSA)},
  volume={11},
  number={1},
  pages={1--27},
  year={2022},
  publisher={IGI Global Scientific Publishing}
}