The effectiveness of machine learning in evaluating the creditworthiness loan applicants has been demonstrated for a long time. However, there is concern that use automated decision-making processes may result unequal treatment groups or individuals, potentially leading to discriminatory outcomes. This paper seeks address this issue by 12 bias mitigation methods across 5 different fairness metr...

The aim of the work is to investigate how agents can become more intelligent using contemporary methods for decision making in electronic commerce auctions. The idea is to implement fuzzy logic for agents’ evaluations of market conditions and sort their preferences using difference combinations of fuzzy input data to make rational choice which is the best behavior under given market conditions....

Lack of specific information may be one of the many reasons that make an individual rely on common knowledge, habits, similar previous experiences, religion or stereotypes when faced with a new decision. Culture encodes much of such information. Many differences in behavior are attributed to culture. It is not hard to see the need for a new approach to decision making that takes into account th...