Edwin Lughofer,
"Navigating Interpretability Issues in Evolving Fuzzy Systems"
: Proceedings of the SUM 2012 Conference, Springer Lecture Notes, Serie Lecture Notes in Artificial Intelligence (LNAI), Nummer 7520, Springer, Seite(n) 141-153, 2012
Original Titel:
Navigating Interpretability Issues in Evolving Fuzzy Systems
Sprache des Titels:
Englisch
Original Buchtitel:
Proceedings of the SUM 2012 Conference, Springer Lecture Notes
Original Kurzfassung:
In this position paper, we are investigating interpretability
issues in the context of evolving fuzzy systems (EFS). Current EFS approaches, developed during the last years, are basically providing methodologies
for precise modeling tasks, i.e. relations and system dependencies
implicitly contained in on-line data streams are modeled as accurately as
possible. This is achieved by permanent dynamic updates and evolution
of structural components. Little attention has been paid to the interpretable power of these evolved systems, which, however, originally was one fundamental strength of fuzzy models over other (data-driven) model architectures. This paper will present the (little) achievements already made in this direction, discuss new concepts and point out open issues for future research. Various well-known and important interpretability
criteria will serve as basis for our investigations.
Forschungs-