Fuzzy Conceptual Graphs: a comparative discussion
Artificial Intelligence
2021-11-02 v1 Information Theory
Logic in Computer Science
math.IT
Abstract
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.
Keywords
Cite
@article{arxiv.2111.00229,
title = {Fuzzy Conceptual Graphs: a comparative discussion},
author = {Adam Faci and Marie-Jeanne Lesot and Claire Laudy},
journal= {arXiv preprint arXiv:2111.00229},
year = {2021}
}