Soft Set Theory for Decision Making in Computational Biology Under Incomplete Information

Soft Set Theory for Decision Making in Computational Biology Under Incomplete Information

The study of biological systems is complex and of great importance. There exist numerous approaches to signal transduction processes, including symbolic modeling of cellular adaptation. The use of formal methods for computational biological systems eases the analysis of cellular models and the estab...

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Bibliographic Details
Main Authors: Beatriz Santos-Buitrago, Adrian Riesco, Merrill Knapp, Jose Carlos R. Alcantud, Gustavo Santos-Garcia, Carolyn Talcott
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Biological system modeling
decision making
rewriting logic
rewriting strategies
soft set
symbolic systems biology
Online Access:https://ieeexplore.ieee.org/document/8636909/

Internet

https://ieeexplore.ieee.org/document/8636909/

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