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reworked bom diagram for data generation process

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hannes.kuchelmeister
2020-04-02 12:17:32 +02:00
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30_Thesis/figures/60_evaluation/bpmn_evaluation_input_data_generation.pdf LFS
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30_Thesis/sections/60_evaluation.tex
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@@ -173,7 +173,7 @@ Understanding data is made easier by first posing hypotheses. This section gives
\item \label{hyp:Evaluation:HigherTcLessSatisfied} A higher $tc$ value results in less satisfied people and more unsatisfied people with regard to the dictator's decision.
\item \label{hyp:Evaluation:OnlyOneSatisfied} There exists a $tc$ value which causes only one person to be satisfied with the dictator's decision and no one is satisfied with the group recommender's decision.
\item \label{hyp:Evaluation:HomogenousMoreSatisfied} Homogeneous groups have more satisfied members with the recommender's decision but also with the dictator's decision compared to heterogeneous groups.
\item \label{hyp:Evaluation:HeterogenousBiggerSatisfactionIncrease} More heterogeneous groups see a bigger satisfaction increase than less heterogeneous groups when comparing the dictator's decision with the recommender's decision.
\item \label{hyp:Evaluation:HeterogenousBiggerSatisfactionIncrease} More heterogeneous groups see a bigger satisfaction increase than less heterogeneous groups when switching from the decision of a dictator to a decision made by the recommender.
\item \label{hyp:Evaluation:StoreSizeBetterResults} A higher amount of stored finished configurations results in a higher amount of satisfied and a lower amount of dissatisfied group member.
\item \label{hyp:Evaluation:AggregationStrategies} Multiplication and best average aggregation strategies perform better than least misery. %
\end{enumerate}