Joe Lorkowski

Towards decision making under interval, set-valued, fuzzy, and Z-number uncertainty: A fair price approach

In this paper, we explore one of the possible ways to make decisions under uncertainty: namely, we explain how to define a fair price for a participation in such a decision, and then select an alternative for which the corresponding fair price is the largest. This idea is explained on the examples of interval uncertainty, set-valued, fuzzy, and Z-number uncertainty.

If we measure a number, we get an interval. What if we measure a function or an operator?

AbstractAssume that we measure a physical quantityx with a measuring device whose accuracy isδ (i.e., whose producers guarantee that the difference

Granularity Helps Explain Seemingly Irrational Features of Human Decision Making

x--\bar x

How to take into account a student's degree of certainty when evaluating the test results

between the actual valuex and the measured value

Predicting How Bounded Rationality Will Affect the Quality of Future Decisions: Case Study

\bar x

Towards Explaining Heuristic Techniques (Such as Fuzzy) in Expert Decision Making

does not exceedδ). If the result of this measurement is