Fuzzy Granulation
Cross-source consensus on Fuzzy Granulation from 1 sources and 5 claims.
1 sources · 5 claims
Uses
How it works
Dosage & preparation
Evidence quality
Highlighted claims
- A fuzzy granule with firing strength above 0.2 is treated as a fuzzy attractor. — Identifying the Attractors of Gene Regulatory Networks from Expression Data under Uncertainty: An Interpretable Approach
- The method uses fuzzy granulation of the state space to identify attractors. — Identifying the Attractors of Gene Regulatory Networks from Expression Data under Uncertainty: An Interpretable Approach
- A fuzzy granule is defined as the intersection of fuzzy sets over state variables. — Identifying the Attractors of Gene Regulatory Networks from Expression Data under Uncertainty: An Interpretable Approach
- Firing strength serves as a robustness confidence measure for identified attractors. — Identifying the Attractors of Gene Regulatory Networks from Expression Data under Uncertainty: An Interpretable Approach
- Temporal expression profiles are converted into fuzzy signals to tolerate profiling uncertainty. — Identifying the Attractors of Gene Regulatory Networks from Expression Data under Uncertainty: An Interpretable Approach