Fuzzy Conceptual Graphs: a comparative discussion
Faci, Adam, Lesot, Marie-Jeanne, Laudy, Claire
–arXiv.org Artificial Intelligence
Conceptual Graphs (CG) are a graph-based knowledge representation and reasoning formalism; fuzzy Conceptual Graphs (fCG) constitute an extension that enriches their expressiveness, exploiting the fuzzy set theory so as to relax their constraints at various levels. This paper proposes a comparative study of existing approaches over their respective advantages and possible limitations. The discussion revolves around three axes: (a) Critical view of each approach and comparison with previous propositions from the state of the art; (b) Presentation of the many possible interpretations of each definition to illustrate its potential and its limits; (c) Clarification of the part of CG impacted by the definition as well as the relaxed constraint.
arXiv.org Artificial Intelligence
Oct-26-2021
- Country:
- Europe > France
- Île-de-France > Paris > Paris (0.04)
- Oceania > Australia
- Queensland (0.04)
- Europe > France
- Genre:
- Research Report (0.40)
- Technology: