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AHL is the classic example of a "black box" system in which investment decisions are generated by computer models.
The framework is based on game theory where the strategic set of decisions are generated by a binary genetic algorithm.
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How do humans claim credit (in part, to be promoted) for positive business outcomes when the key decisions were generated by something vaguely referred to as "artificial intelligence"?
An effective DSS has the following components such as inputs [factors, numbers, and characteristics to analyze], user knowledge and expertise [inputs requiring manual analysis by the user], outputs [transformed data from which DSS "decisions" are generated] and decisions [results generated by the DSS based on user criteria] (Turban et al., 2004).
Random Forest (RF) [ 31, 32] is a classification algorithm using sets of random decision trees which are generated by a bootstrap sampling for decision and voting.
Multi objective facility layout problem is solved by using different objective weights which are generated by decision maker.
KnowSEC supports collaborative decision making by explanation interfaces that are generated by declarative SPARQL queries.
This paper aims to develop and compare several elicitation criterions for decision making of incomplete soft sets which are generated by restricted intersection.
Revenues are generated by transaction fees.
The decision tree is generated by a complete semantic relation framework given in Fig. 1 and the features mentioned in Section 3.2 as discriminative decision node.
This final decision tree was generated by levels, taking into account the similarity between groups of partitions as was mentioned previously.
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