J. Neil Bearden
Associate Professor of Decision Sciences
Multi-attribute Optimization; Sequential Search; Dynamic Programming;
The authors examine a sequential selection problem in which a single option must be selected. Each option's value is a function of its attributes, whose precise values can be ascertained at a given cost.The authors prove the optimality of a threshold stopping rule for a general class of objective functions.