Some fault tolerance of the data received from the field is achieved through data validation constraints.
Latent Class Analysis has a number of advantages over traditional cluster analysis techniques, including: greater classification accuracy, the ability to manage variables of all data types (dichotomous, ordinal and continuous), and a tolerance of missing data [ 24- 26].
Fuzzy logic provides a natural framework to deal with its uncertainty and the tolerance of imprecise data inputs.
We study the problem of enhancing the fault tolerance of a data gathering tree by adding additional links so that failure of a sensor or a pair of adjacent sensors would not disconnect the tree.
It is inferred from the paper that the proposed SRAM cell outperforms over DICE latch in terms of fault tolerance of external data and control lines, power dissipation and fast recovery when exposed to radiation for both the technology nodes.
One major advantage of iBBiG is its robustness in the presence of noise and its tolerance of missing data.
If we do this, then we find 16 edges connecting 13 vertices, as shown in Figure 4. We can use this approach more generally to construct networks that have a required level of tolerance to data uncertainty, omitting any edges that do not appear in at least q% of the bootstrap samples.
Yet again, these values are low, indicating that the topology of relevance networks is sensitive to uncertainty in the data (note that r and τ are not directly comparable, so it is difficult to compare the relative tolerance to data uncertainty of relevance networks and GGMs).
It has good performance in fault tolerance and stability of data transmission.
