Decision strategies

Decision strategies specify the type and order that information is processed to determine a choice. Some examples for decision strategies are:

Elimination by aspects Tversky (1972): This rule begins by determining the most important attribute and then retrieves a cutoff value for that attribute. All alternatives with values below that cutoff are eliminated. The process continues with the most important remaining attribute(s) until only one alternative remains.
Lexicographic Strategy: This strategy first identifies the most important attribute and then selects the alternative that is best on this attribute. In the case of ties, the tied alternatives are compared on the next most important attribute and so on.
Equal Weight Strategy: It examines all alternatives and attribute values but ignores the weights (probabilities). It sums the attribute values for an alternative to get an overall score for that alternative and then selects the alternative with the highest evaluation.
Satisficing Strategy Simon (1955): This strategy considers one alternative at a time, in the order they are presented. Each attribute of the current alternative is compared to a cutoff. If an attribute fails to exceed the cutoff, then the alternative is rejected. The first alternative to pass all the cutoffs is selected.

See also: Strategy (in game theory and economics), dominant strategies

Literature: Simon (1955), Svenson & Maule (1993), Tversky (1972)

Entry by: Susanne Haberstroh


April 25, 1998
Direct questions and comments to: Glossary master