RT journal article
T1 MODELFY: A Model-driven Solution for Decision Making based on Fuzzy Information
A1 Castañeda, María
A1 Merayo, Mercedes G.
A1 Boubeta Puig, Juan
A1 Calvo, Iván
A2 Ingeniería Informática
K1 Model-driven engineering
K1 Fuzzy automata
K1 DSML
K1 Graphical modeling editor
K1 Decision making
K1 Support Diagnostic
AB There exist areas, such as the disease prevention or inclement weather protocols, inwhich the analysis of the information based on strict protocols require a high level of rigor andsecurity. In this situation, it would be desirable to apply formal methodologies that provide thesefeatures. In this scope, recently, it has been proposed a formalism, fuzzy automaton, that capturestwo relevant aspects for fuzzy information analysis: imprecision and uncertainty. However, themodels should be designed by domain experts, who have the required knowledge for the design ofthe processes, but do not have the necessary technical knowledge. To address this limitation, thispaper proposes MODELFY, a novel model-driven solution for designing a decision-making processbased on fuzzy automata that allows users to abstract from technical complexities. With this goalin mind, we have developed a framework for fuzzy automaton model design based on a Domain-Specific Modeling Language (DSML) and a graphical editor. To improve the interoperability andfunctionality of this framework, it also includes a model-to-text transformation that translates themodels designed by using the graphical editor into a format that can be used by a tool for data analysis.The practical value of this proposal is also evaluated through a non-trivial medical protocol fordetecting potential heart problems. The results confirm that MODELFY is useful for defining sucha protocol in a user-friendly and rigorous manner, bringing fuzzy automata closer to domain experts
PB GRAZ UNIV TECHNOLGOY,
SN 0948-695X
YR 2022
FD 2022
LK http://hdl.handle.net/10498/27307
UL http://hdl.handle.net/10498/27307
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 12-nov-2026