public ExpertOpinion GetResult(string profileName)
{
var initialData = _initialDataProvider.GetInitialData();
var knowledgeBase = _knowledgeManager.GetKnowledgeBase(profileName);
var opinion = new ExpertOpinion();
if (!initialData.IsPresent)
{
opinion.AddErrorMessage("Initial data is not consistent. Check logs for more information.");
}
if (!knowledgeBase.IsPresent)
{
opinion.AddErrorMessage("Knowledge base is not consistent. Check logs for more information.");
}
ValidateInitialDataAgainstKnowledgeBase(initialData, knowledgeBase, opinion);
if (!opinion.IsSuccess)
{
return(opinion);
}
_inferenceEngine.InitializeEngine();
FillInferenceEngineRules(knowledgeBase.Value);
var activatedNodes = GetInitialNodes(knowledgeBase.Value, initialData.Value);
var inferenceResults = _inferenceEngine.GetInferenceResults(activatedNodes);
opinion.AddResults(DeFuzzifyResults(inferenceResults, knowledgeBase.Value.LinguisticVariables));
return(opinion);
}
public void AddResult_AddMessagesToErrorMessagesList()
{
// Arrange
double firstExpectedConfidenceFactor = 50;
string firstExpectedNodeName = "A1";
double firstExpectedDeFuzzifiedValue = 2;
double secondExpectedConfidenceFactor = 100;
string secondExpectedNodeName = "B1";
double secondExpectedDeFuzzifiedValue = 3;
var results = new List <DeFuzzifiedInferenceResult>
{
new DeFuzzifiedInferenceResult(firstExpectedNodeName, firstExpectedConfidenceFactor, firstExpectedDeFuzzifiedValue),
new DeFuzzifiedInferenceResult(secondExpectedNodeName, secondExpectedConfidenceFactor, secondExpectedDeFuzzifiedValue)
};
// Act
_expertOpinion.AddResults(results);
// Assert
Assert.IsTrue(_expertOpinion.IsSuccess);
Assert.AreEqual(2, _expertOpinion.Result.Count);
Assert.AreEqual(firstExpectedConfidenceFactor, _expertOpinion.Result[0].ConfidenceFactor);
Assert.AreEqual(secondExpectedConfidenceFactor, _expertOpinion.Result[1].ConfidenceFactor);
}