Too hot to be really productive. However question 1 of TMA03 is OK. Not entirely sure about question 2.
Decided just to run the flex program with uncertainty rules only as I am sure I can get it to work, though it is cumbersome to test.
Noticed in flex manual that it states:
Given a rule:
rule1: if A & B then C
there are 3 potential areas for uncertainty.
- Uncertainty in data (how true are A and B)
- Uncertainty in the rule (how often does A and B imply C)
- Impreciseness in general
The first 2 can be handled using probabilities and the third using fuzzy logic.
As the main sources of uncertainty in this project is in the data - difficult to measure tumours accurately etc, and the rules, there are only four rules that are always true according to the statistical analysis of this dataset but these are probably not always true with other datasets. Therefore I was justified in using uncertainty rules to deal with these sources of uncertainty.
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